figure_s2_02_dge.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f42aca45",
   "metadata": {},
   "source": [
    "# load library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3923e930",
   "metadata": {},
   "outputs": [],
   "source": [
    "source(\"r/jupyter_common.R\")\n",
    "\n",
    "source(\"r/enrichment_analysis.R\")\n",
    "source(\"r/find_markers.R\")\n",
    "source(\"r/identify_cell_types.R\")\n",
    "source(\"r/plot_sc_clusters.R\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "076042f0",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# data structure\n",
    "suppressPackageStartupMessages(library(stringi))\n",
    "suppressPackageStartupMessages(library(forcats))\n",
    "\n",
    "# utils\n",
    "suppressPackageStartupMessages(library(amap)) # for Dist()\n",
    "suppressPackageStartupMessages(library(scales))\n",
    "\n",
    "# scRNA-seq\n",
    "suppressPackageStartupMessages(library(Seurat))\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3bfa7459",
   "metadata": {},
   "source": [
    "## parallel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bdaa516f",
   "metadata": {},
   "outputs": [],
   "source": [
    "suppressPackageStartupMessages(library(future))\n",
    "plan(\"multicore\", workers = 8)\n",
    "\n",
    "options(future.globals.maxSize = 5 * 1024^3) # 5GB\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3076641a",
   "metadata": {},
   "source": [
    "# parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7204f433",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "'er+bc-pairs'"
      ],
      "text/latex": [
       "'er+bc-pairs'"
      ],
      "text/markdown": [
       "'er+bc-pairs'"
      ],
      "text/plain": [
       "[1] \"er+bc-pairs\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "'RNA_snn_res.0.8'"
      ],
      "text/latex": [
       "'RNA\\_snn\\_res.0.8'"
      ],
      "text/markdown": [
       "'RNA_snn_res.0.8'"
      ],
      "text/plain": [
       "[1] \"RNA_snn_res.0.8\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "'umap'"
      ],
      "text/latex": [
       "'umap'"
      ],
      "text/markdown": [
       "'umap'"
      ],
      "text/plain": [
       "[1] \"umap\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "'cluster.type'"
      ],
      "text/latex": [
       "'cluster.type'"
      ],
      "text/markdown": [
       "'cluster.type'"
      ],
      "text/plain": [
       "[1] \"cluster.type\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cancer_type <- \"er+bc-pairs\"\n",
    "\n",
    "\n",
    "args <- list()\n",
    "args$cancer_type <- cancer_type\n",
    "args$method_to_identify_cell_types <- \"singler_blueprint_encode\"\n",
    "args$seurat_resolution <- 0.8\n",
    "args$harmony_theta <- 0\n",
    "\n",
    "str_column_of_meta_data_cluster <- sprintf(\"RNA_snn_res.%g\", args$seurat_resolution)\n",
    "str_column_of_meta_data_harmony <- sprintf(\"RNA_harmony_th.%s\", paste(args$harmony_theta, collapse=\",\"))\n",
    "\n",
    "str_reduction <- \"pca\"\n",
    "str_umap_reduction <- \"umap\"  \n",
    "col_cluster_types <- \"cluster.type\"\n",
    "\n",
    "str_condition <- cancer_type\n",
    "\n",
    "str_condition\n",
    "str_column_of_meta_data_cluster\n",
    "str_umap_reduction\n",
    "col_cluster_types\n",
    "\n",
    "figure_format <- \"pdf\"\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4121f0a",
   "metadata": {},
   "source": [
    "## set.seed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "60200569",
   "metadata": {},
   "outputs": [],
   "source": [
    "# set seed for reproducibility\n",
    "set.seed(51)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bb58886",
   "metadata": {},
   "source": [
    "## display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9dcd2205",
   "metadata": {},
   "outputs": [],
   "source": [
    "options(repr.matrix.max.cols=150, repr.matrix.max.rows=50)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d44885a",
   "metadata": {},
   "source": [
    "## nv_cell_type_conversion_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "056c4bc9",
   "metadata": {},
   "outputs": [],
   "source": [
    "nv_cell_type_conversion_table <- c(\n",
    "            \"Epithelial cells\"=\"Epi. CNA-\",\n",
    "            \"Normal-like\"=\"Normal-like\",\n",
    "            \"Basal\"=\"Basal\",\n",
    "            \"Her2\"=\"Her2\",\n",
    "            \"LumA\"=\"LumA\",\n",
    "            \"LumB\"=\"LumB\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "589fe403",
   "metadata": {},
   "source": [
    "# read scRNA-seq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d5f0426d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "'/home/hkim77/spanheimer_lab.w/sc-rna-seq/tr-bc/run-20220121/output/rds_er+bc-pairs/er+bc-pairs_sc-rna-seq_merged_seurat_obj.rds'"
      ],
      "text/latex": [
       "'/home/hkim77/spanheimer\\_lab.w/sc-rna-seq/tr-bc/run-20220121/output/rds\\_er+bc-pairs/er+bc-pairs\\_sc-rna-seq\\_merged\\_seurat\\_obj.rds'"
      ],
      "text/markdown": [
       "'/home/hkim77/spanheimer_lab.w/sc-rna-seq/tr-bc/run-20220121/output/rds_er+bc-pairs/er+bc-pairs_sc-rna-seq_merged_seurat_obj.rds'"
      ],
      "text/plain": [
       "[1] \"/home/hkim77/spanheimer_lab.w/sc-rna-seq/tr-bc/run-20220121/output/rds_er+bc-pairs/er+bc-pairs_sc-rna-seq_merged_seurat_obj.rds\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "dir_rna <- \"/home/hkim77/spanheimer_lab.w/sc-rna-seq/tr-bc/run-20220121\"\n",
    "fname_rna <- sprintf(\"%s/output/rds_%s/%s_sc-rna-seq_merged_seurat_obj.rds\",\n",
    "                     dir_rna, cancer_type, cancer_type)\n",
    "fname_rna\n",
    "\n",
    "rna <- readRDS(fname_rna)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd5eb854",
   "metadata": {},
   "source": [
    "https://mojaveazure.github.io/seurat-object/reference/Seurat-methods.html\n",
    "\n",
    "dim: The number of features (nrow) and cells (ncol) for the default assay; note: while the number of features changes depending on the active assay, the number of cells remains the same across all assays\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e71853e",
   "metadata": {},
   "source": [
    "## mapping sample IDs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a2e105e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_id_map <- read.table(\"tsv/sample_id_mapping_table.tsv\",\n",
    "                     sep=\"\\t\",\n",
    "                     header=T,\n",
    "                     row.names=1)\n",
    "\n",
    "idx <- match(rna@meta.data[, \"Sample\"], rownames(df_id_map))\n",
    "rna@meta.data[, \"Sample\"] <- df_id_map[idx, 1]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f72d42a",
   "metadata": {},
   "source": [
    "## n_samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b8c91128",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>'Tumor_03_Control'</li><li>'Tumor_03_Tamoxifen'</li><li>'Tumor_05_Control'</li><li>'Tumor_05_Tamoxifen'</li><li>'Tumor_06_Control'</li><li>'Tumor_06_Tamoxifen'</li><li>'Tumor_08_Control'</li><li>'Tumor_08_Tamoxifen'</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 'Tumor\\_03\\_Control'\n",
       "\\item 'Tumor\\_03\\_Tamoxifen'\n",
       "\\item 'Tumor\\_05\\_Control'\n",
       "\\item 'Tumor\\_05\\_Tamoxifen'\n",
       "\\item 'Tumor\\_06\\_Control'\n",
       "\\item 'Tumor\\_06\\_Tamoxifen'\n",
       "\\item 'Tumor\\_08\\_Control'\n",
       "\\item 'Tumor\\_08\\_Tamoxifen'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 'Tumor_03_Control'\n",
       "2. 'Tumor_03_Tamoxifen'\n",
       "3. 'Tumor_05_Control'\n",
       "4. 'Tumor_05_Tamoxifen'\n",
       "5. 'Tumor_06_Control'\n",
       "6. 'Tumor_06_Tamoxifen'\n",
       "7. 'Tumor_08_Control'\n",
       "8. 'Tumor_08_Tamoxifen'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] \"Tumor_03_Control\"   \"Tumor_03_Tamoxifen\" \"Tumor_05_Control\"  \n",
       "[4] \"Tumor_05_Tamoxifen\" \"Tumor_06_Control\"   \"Tumor_06_Tamoxifen\"\n",
       "[7] \"Tumor_08_Control\"   \"Tumor_08_Tamoxifen\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "8"
      ],
      "text/latex": [
       "8"
      ],
      "text/markdown": [
       "8"
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      "text/plain": [
       "[1] 8"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "samples <- unique(rna@meta.data$Sample)\n",
    "samples\n",
    "\n",
    "n_samples <- length(samples)\n",
    "n_samples\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f725871",
   "metadata": {},
   "source": [
    "## mtx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c372000e",
   "metadata": {},
   "outputs": [],
   "source": [
    "if (DefaultAssay(rna) == \"integrated\") {\n",
    "    mtx <- GetAssayData(object = rna, assay=NULL, slot = \"data\")\n",
    "} else {\n",
    "    mtx <- GetAssayData(object = rna, assay=\"RNA\", slot = \"data\")\n",
    "}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4b1ca83",
   "metadata": {},
   "source": [
    "## list_sort"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "123d3539",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\twarning: cluster.type.skipped: 18-HSC\n"
     ]
    }
   ],
   "source": [
    "\n",
    "list_sort <- sort_cluster_members(rna, args,\n",
    "                    col_cluster_types = col_cluster_types,\n",
    "                    str_umap_reduction = str_umap_reduction,\n",
    "                    f_merge_immune_cell = FALSE)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65e4d65f",
   "metadata": {},
   "source": [
    "## colors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf96dc41",
   "metadata": {},
   "source": [
    "### samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d82bd376",
   "metadata": {},
   "outputs": [
    {
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      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>'#A6CEE3'</li><li>'#1F78B4'</li><li>'#B2DF8A'</li><li>'#33A02C'</li><li>'#FB9A99'</li><li>'#E31A1C'</li><li>'#FDBF6F'</li><li>'#FF7F00'</li></ol>\n"
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       "\\begin{enumerate*}\n",
       "\\item '\\#A6CEE3'\n",
       "\\item '\\#1F78B4'\n",
       "\\item '\\#B2DF8A'\n",
       "\\item '\\#33A02C'\n",
       "\\item '\\#FB9A99'\n",
       "\\item '\\#E31A1C'\n",
       "\\item '\\#FDBF6F'\n",
       "\\item '\\#FF7F00'\n",
       "\\end{enumerate*}\n"
      ],
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       "1. '#A6CEE3'\n",
       "2. '#1F78B4'\n",
       "3. '#B2DF8A'\n",
       "4. '#33A02C'\n",
       "5. '#FB9A99'\n",
       "6. '#E31A1C'\n",
       "7. '#FDBF6F'\n",
       "8. '#FF7F00'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] \"#A6CEE3\" \"#1F78B4\" \"#B2DF8A\" \"#33A02C\" \"#FB9A99\" \"#E31A1C\" \"#FDBF6F\"\n",
       "[8] \"#FF7F00\""
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     "output_type": "display_data"
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       "[1] 8"
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     "data": {
      "image/png": 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/QINNk/qBiUhlPqB3cJPH8mf0bfZ7nUAejAbwEd+WtA2z8cEBz66MvvRsXG33PP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\n/w0CvwAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420.6,
       "width": 480.6
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make patient sample metadata and color assignments \n",
    "# http://applied-r.com/rcolorbrewer-palettes/\n",
    "\n",
    "if (n_samples <= 4) {\n",
    "    sampleColors <- brewer.pal(12, \"Paired\")\n",
    "    sampleColors <- sampleColors[c(1,5,2,6)]\n",
    "} else if (n_samples <= 12){\n",
    "    sampleColors <- brewer.pal(n_samples, \"Paired\")\n",
    "} else {\n",
    "    vec_color1 <- colorRampPalette(brewer.pal(9, \"Set1\"))(n_samples/2)\n",
    "    vec_color2 <- colorspace::lighten(vec_color1, amount=0.4) \n",
    "    sampleColors <- c(rbind(vec_color1, vec_color2))\n",
    "}\n",
    "\n",
    "sampleColors\n",
    "length(sampleColors)\n",
    "\n",
    "options(repr.plot.width=8.01, repr.plot.height=7.01)\n",
    "pie(rep(1,n_samples), col=sampleColors) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbc545c6",
   "metadata": {},
   "source": [
    "### epi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a6d4152d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>'Epithelial cells'</li><li>'Epi. Non-tumor'</li><li>'LEp_prog'</li><li>'LEp_secretory'</li><li>'LEp'</li><li>'LEp_hormone'</li><li>'BEp'</li><li>'BEp_MaSCs'</li><li>'BEp_myo'</li><li>'Epi. Unassigned'</li><li>'Epi. Tumor'</li><li>'Normal-like'</li><li>'NBL'</li><li>'Basal'</li><li>'CLow'</li><li>'Her2E'</li><li>'LumA'</li><li>'LumB'</li><li>'Keratinocytes'</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 'Epithelial cells'\n",
       "\\item 'Epi. Non-tumor'\n",
       "\\item 'LEp\\_prog'\n",
       "\\item 'LEp\\_secretory'\n",
       "\\item 'LEp'\n",
       "\\item 'LEp\\_hormone'\n",
       "\\item 'BEp'\n",
       "\\item 'BEp\\_MaSCs'\n",
       "\\item 'BEp\\_myo'\n",
       "\\item 'Epi. Unassigned'\n",
       "\\item 'Epi. Tumor'\n",
       "\\item 'Normal-like'\n",
       "\\item 'NBL'\n",
       "\\item 'Basal'\n",
       "\\item 'CLow'\n",
       "\\item 'Her2E'\n",
       "\\item 'LumA'\n",
       "\\item 'LumB'\n",
       "\\item 'Keratinocytes'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 'Epithelial cells'\n",
       "2. 'Epi. Non-tumor'\n",
       "3. 'LEp_prog'\n",
       "4. 'LEp_secretory'\n",
       "5. 'LEp'\n",
       "6. 'LEp_hormone'\n",
       "7. 'BEp'\n",
       "8. 'BEp_MaSCs'\n",
       "9. 'BEp_myo'\n",
       "10. 'Epi. Unassigned'\n",
       "11. 'Epi. Tumor'\n",
       "12. 'Normal-like'\n",
       "13. 'NBL'\n",
       "14. 'Basal'\n",
       "15. 'CLow'\n",
       "16. 'Her2E'\n",
       "17. 'LumA'\n",
       "18. 'LumB'\n",
       "19. 'Keratinocytes'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       " [1] \"Epithelial cells\" \"Epi. Non-tumor\"   \"LEp_prog\"         \"LEp_secretory\"   \n",
       " [5] \"LEp\"              \"LEp_hormone\"      \"BEp\"              \"BEp_MaSCs\"       \n",
       " [9] \"BEp_myo\"          \"Epi. Unassigned\"  \"Epi. Tumor\"       \"Normal-like\"     \n",
       "[13] \"NBL\"              \"Basal\"            \"CLow\"             \"Her2E\"           \n",
       "[17] \"LumA\"             \"LumB\"             \"Keratinocytes\"   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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4S0XBclkUieLrYihJDks6NbOo4/mNFt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\nXOW7ZoAZIYQknx3d0nH8wYxuG84/SUxPenV9hycncHqHFoOPJv5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Ujm5x8sp8iqLyMvOZLqQcnydD967d03b9lpzLzczrO6NLA70a1EJO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5bNunvAojW32/pNWwgMZKVXFN9Kkn2+yOrkM37cUAACAASURBVDDaEbg+LPs5S0aV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\n3nll55RUV4sk764I0vGhDI0gLaGhoQEAZayKT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cKEX3755e+//87Pz+fz+enp6VWz6gMHDpSXl9d0UMmDtdER8bf4gNrM18fxc8+Eh4cP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\nAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420.6,
       "width": 480.6
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "idx_epi <- grep(pattern_epi, names(nv_color))\n",
    "names(nv_color)[idx_epi]\n",
    "# http://applied-r.com/rcolorbrewer-palettes/\n",
    "colors_epi <- RColorBrewer::brewer.pal(9, \"Set1\")\n",
    "colors_epi <- colorspace::lighten(colors_epi, amount=0.4)\n",
    "\n",
    "nv_color[\"Epi. Tumor\"] <- \"forestgreen\"\n",
    "\n",
    "nv_color[\"LEp_prog\"] <- \"#b4fd9e\"\n",
    "nv_color[\"LEp\"] <- colors_epi[3]\n",
    "nv_color[\"BEp\"] <- colors_epi[4]\n",
    "\n",
    "nv_color[\"Basal\"] <- colors_epi[1]\n",
    "nv_color[\"Her2E\"] <- colors_epi[6]\n",
    "nv_color[\"Her2\"] <- colors_epi[6]\n",
    "nv_color[\"LumA\"] <- colors_epi[7]\n",
    "nv_color[\"LumB\"] <- colors_epi[5]\n",
    "nv_color[\"Normal-like\"] <- colorspace::darken(colors_epi[3], amount=0.4)\n",
    "\n",
    "pie(rep(1, length(idx_epi)), col=nv_color[idx_epi],\n",
    "       labels=names(nv_color)[idx_epi]) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "40eba03d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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96SexzAHNHQgLlbsWLF2LFjQ/29v1vysr+7i9zjACgVz0p2n47tGurj+tJLLy1Y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\nqrjYOo/4qhT/IU0HDQ0zJusL+sWLFystlDOHjJZtAiPEhnfQK7a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aGtCjjRs3Ki2UvJvQQKiUyg2vLtNejQ4ZNYur0abn4SvQy34ioA1F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\ngg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420.6,
       "width": 480.6
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "list_sort <- update_nv_color_cell_type(list_sort)\n",
    "colors_epi <- list_sort$nv_color_cell_type\n",
    "\n",
    "pie(rep(1, length(colors_epi)), col=colors_epi,\n",
    "       labels=names(colors_epi)) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e245872c",
   "metadata": {},
   "source": [
    "### cell.type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "57d6d598",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Iy7B3ejfi6X7tPWdsHCuw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z4XQVS0VmkDzmOrhG2LXe6q7PbG8v646r6L+rjIQAACAASURBVLH14oZv9hsl1yQK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\nfWF0dHR0dHTPnj0vX75Mb0CbviMItVANjSANFovFCgoKcnBwKHlZWZVR8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dCEab9eoDqLKtUIKtYPbCKuEQLAqFGjzp07p6OjQ3UoBEG+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\n0NAAAACAHBoaAAAAkENDAwAAAHL+HyRduUi3hSP3AAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420.6,
       "width": 480.6
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "options(repr.plot.width=8.01, repr.plot.height=7.01)\n",
    "pie(rep(1, length(list_sort$nv_color_cluster_type_ordered)),\n",
    "    col=list_sort$nv_color_cluster_type_ordered) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e280c46",
   "metadata": {},
   "source": [
    "# DGE"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1972e284",
   "metadata": {},
   "source": [
    "## gmt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e758e27d",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "list_gmt <- list()\n",
    "list_gmt[[\"h\"]] <- read.gmt(\"reference/gmt/h.all.v6.1.symbols.gmt\")\n",
    "list_gmt[[\"unc_lccc\"]] <- read.gmt(\"reference/gmt/unc_lccc_human_gene_signatures.gmt\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e32d75c",
   "metadata": {},
   "source": [
    "## type_condition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "14129e39",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "method_dge <- \"seurat_findmarkers_enricher\"\n",
    "dir_xlsx <- \"xlsx\"\n",
    "\n",
    "list_genes_dn <- list()\n",
    "\n",
    "\n",
    "# additional conditions \n",
    "genes <- NULL\n",
    "str_cond1 <- NULL\n",
    "str_cond_ref <- NULL\n",
    "type_condition <- \"none\"\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c7c0718",
   "metadata": {},
   "source": [
    "## cluster 2 vs. cluster 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "bf62bdf3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# tumor pairs with large differences\n",
    "\n",
    "sample1 <- NULL\n",
    "sample_ref <- NULL\n",
    "\n",
    "th_log2fc_=0.25; th_padj_=0.01\n",
    "min.pct_=0.25; min.diff.pct_=-Inf; max.cells.per.ident_=Inf\n",
    "\n",
    "f_featureplot=FALSE\n",
    "n_sampling=-1\n",
    "cluster_rows=FALSE\n",
    "\n",
    "pattern_sample1 <- \"Tamoxifen\"\n",
    "pattern_sample_ref <- \"Tamoxifen\"\n",
    "\n",
    "drug_name <- \"tamoxifen\"\n",
    "\n",
    "clusters1 <- c(3)  # 2 vs. 3 LumA, n=865\n",
    "#clusters1 <- c(12)  # 2 vs. 12 LumA, n=345\n",
    "#clusters1 <- c(3,12)  # 2 vs. (3+12) LumA, n=1210\n",
    "#clusters1 <- c(19)  # 2 vs. 19 LumB, n=100\n",
    "\n",
    "clusters_ref <- c(2) # reponsive, n=2100\n",
    "\n",
    "group_name1 <- sprintf(\"cluster%s\", paste(clusters1, collapse=\",\"))\n",
    "group_name_ref <- sprintf(\"cluster%s\", paste(clusters_ref, collapse=\",\"))\n",
    "\n",
    "col_cluster_types_ <- NULL\n",
    "col_cell_types_ <- \"cell.type\"\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "77033119",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "drug_name=tamoxifen\n",
      "pattern_sample1=Tamoxifen\n",
      "pattern_sample_ref=Tamoxifen\n",
      "\t\tgroup_name1=cluster3\n",
      "\t\tgroup_name_ref=cluster2\n",
      "\t\tcol_cell_types_=cell.type\n",
      "\t\tth_log2fc=0.25\n",
      "\t\tth_padj=0.01\n",
      "\t\tmin.pct=0.25\n",
      "\t\tmin.diff.pct=-Inf\n",
      "\t\tmax.cells.per.ident=Inf\n",
      "\t\tmethod_dge=seurat_findmarkers_enricher\n",
      "\t\ttype_condition=none\n",
      "\t\tgenes=\n"
     ]
    }
   ],
   "source": [
    "\n",
    "cat(sprintf(\"sample1=%s\\n\", sample1))\n",
    "cat(sprintf(\"sample_ref=%s\\n\", sample_ref))\n",
    "\n",
    "cat(sprintf(\"drug_name=%s\\n\", drug_name))\n",
    "cat(sprintf(\"pattern_sample1=%s\\n\", pattern_sample1))\n",
    "cat(sprintf(\"pattern_sample_ref=%s\\n\", pattern_sample_ref))\n",
    "\n",
    "    cat(sprintf(\"\\t\\tgroup_name1=%s\\n\", group_name1))\n",
    "    cat(sprintf(\"\\t\\tgroup_name_ref=%s\\n\", group_name_ref))\n",
    "    cat(sprintf(\"\\t\\tcol_cluster_types_=%s\\n\", col_cluster_types_))\n",
    "    cat(sprintf(\"\\t\\tcol_cell_types_=%s\\n\", col_cell_types_))\n",
    "\n",
    "    cat(sprintf(\"\\t\\tth_log2fc=%g\\n\", th_log2fc_))\n",
    "    cat(sprintf(\"\\t\\tth_padj=%g\\n\", th_padj_))\n",
    "    cat(sprintf(\"\\t\\tmin.pct=%g\\n\", min.pct_))\n",
    "    cat(sprintf(\"\\t\\tmin.diff.pct=%g\\n\", min.diff.pct_))\n",
    "    cat(sprintf(\"\\t\\tmax.cells.per.ident=%g\\n\", max.cells.per.ident_))\n",
    "    cat(sprintf(\"\\t\\tmethod_dge=%s\\n\", method_dge))\n",
    "\n",
    "    cat(sprintf(\"\\t\\ttype_condition=%s\\n\", type_condition))\n",
    "    cat(sprintf(\"\\t\\tgenes=%s\\n\", paste(genes, collapse=\", \")))\n",
    "    cat(sprintf(\"\\t\\tstr_cond1=%s\\n\", str_cond1))\n",
    "    cat(sprintf(\"\\t\\tstr_cond_ref=%s\\n\", str_cond_ref))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "217ec52d",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "seurat_findmarkers_enricher<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;col_log2fc=avg_log2FC<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;col_pvalue=p_val<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;col_padj=p_val_adj<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;th_log2fc=0.25<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;th_padj=0.01<br>"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "df_up"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>p_val</th><th scope=col>avg_log2FC</th><th scope=col>pct.1</th><th scope=col>pct.2</th><th scope=col>p_val_adj</th><th scope=col>expr_min</th><th scope=col>expr_mean</th><th scope=col>expr_max</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>ACTB</th><td>6.808906e-193</td><td>1.4023918</td><td>1.000</td><td>0.977</td><td>1.654973e-188</td><td> 0.8691134</td><td>2.8248663</td><td>4.089300</td></tr>\n",
       "\t<tr><th scope=row>MAP9</th><td>7.315661e-170</td><td>0.3318075</td><td>0.418</td><td>0.007</td><td>1.778144e-165</td><td>-0.3407625</td><td>0.1821948</td><td>1.626550</td></tr>\n",
       "\t<tr><th scope=row>MYL6</th><td>6.059284e-160</td><td>0.9252911</td><td>1.000</td><td>1.000</td><td>1.472770e-155</td><td> 0.8082293</td><td>3.1149004</td><td>4.106468</td></tr>\n",
       "\t<tr><th scope=row>PKIB</th><td>1.166690e-151</td><td>0.4605322</td><td>0.521</td><td>0.034</td><td>2.835757e-147</td><td>-0.3844361</td><td>0.2668200</td><td>1.676520</td></tr>\n",
       "\t<tr><th scope=row>ME1</th><td>3.852815e-150</td><td>0.2576544</td><td>0.382</td><td>0.001</td><td>9.364651e-146</td><td>-0.1422437</td><td>0.1420609</td><td>1.478560</td></tr>\n",
       "\t<tr><th scope=row>MARCKS</th><td>9.407972e-148</td><td>0.5061800</td><td>0.623</td><td>0.038</td><td>2.286702e-143</td><td>-0.6267424</td><td>0.2951444</td><td>1.910405</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 8\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & p\\_val & avg\\_log2FC & pct.1 & pct.2 & p\\_val\\_adj & expr\\_min & expr\\_mean & expr\\_max\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tACTB & 6.808906e-193 & 1.4023918 & 1.000 & 0.977 & 1.654973e-188 &  0.8691134 & 2.8248663 & 4.089300\\\\\n",
       "\tMAP9 & 7.315661e-170 & 0.3318075 & 0.418 & 0.007 & 1.778144e-165 & -0.3407625 & 0.1821948 & 1.626550\\\\\n",
       "\tMYL6 & 6.059284e-160 & 0.9252911 & 1.000 & 1.000 & 1.472770e-155 &  0.8082293 & 3.1149004 & 4.106468\\\\\n",
       "\tPKIB & 1.166690e-151 & 0.4605322 & 0.521 & 0.034 & 2.835757e-147 & -0.3844361 & 0.2668200 & 1.676520\\\\\n",
       "\tME1 & 3.852815e-150 & 0.2576544 & 0.382 & 0.001 & 9.364651e-146 & -0.1422437 & 0.1420609 & 1.478560\\\\\n",
       "\tMARCKS & 9.407972e-148 & 0.5061800 & 0.623 & 0.038 & 2.286702e-143 & -0.6267424 & 0.2951444 & 1.910405\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 8\n",
       "\n",
       "| <!--/--> | p_val &lt;dbl&gt; | avg_log2FC &lt;dbl&gt; | pct.1 &lt;dbl&gt; | pct.2 &lt;dbl&gt; | p_val_adj &lt;dbl&gt; | expr_min &lt;dbl&gt; | expr_mean &lt;dbl&gt; | expr_max &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| ACTB | 6.808906e-193 | 1.4023918 | 1.000 | 0.977 | 1.654973e-188 |  0.8691134 | 2.8248663 | 4.089300 |\n",
       "| MAP9 | 7.315661e-170 | 0.3318075 | 0.418 | 0.007 | 1.778144e-165 | -0.3407625 | 0.1821948 | 1.626550 |\n",
       "| MYL6 | 6.059284e-160 | 0.9252911 | 1.000 | 1.000 | 1.472770e-155 |  0.8082293 | 3.1149004 | 4.106468 |\n",
       "| PKIB | 1.166690e-151 | 0.4605322 | 0.521 | 0.034 | 2.835757e-147 | -0.3844361 | 0.2668200 | 1.676520 |\n",
       "| ME1 | 3.852815e-150 | 0.2576544 | 0.382 | 0.001 | 9.364651e-146 | -0.1422437 | 0.1420609 | 1.478560 |\n",
       "| MARCKS | 9.407972e-148 | 0.5061800 | 0.623 | 0.038 | 2.286702e-143 | -0.6267424 | 0.2951444 | 1.910405 |\n",
       "\n"
      ],
      "text/plain": [
       "       p_val         avg_log2FC pct.1 pct.2 p_val_adj     expr_min   expr_mean\n",
       "ACTB   6.808906e-193 1.4023918  1.000 0.977 1.654973e-188  0.8691134 2.8248663\n",
       "MAP9   7.315661e-170 0.3318075  0.418 0.007 1.778144e-165 -0.3407625 0.1821948\n",
       "MYL6   6.059284e-160 0.9252911  1.000 1.000 1.472770e-155  0.8082293 3.1149004\n",
       "PKIB   1.166690e-151 0.4605322  0.521 0.034 2.835757e-147 -0.3844361 0.2668200\n",
       "ME1    3.852815e-150 0.2576544  0.382 0.001 9.364651e-146 -0.1422437 0.1420609\n",
       "MARCKS 9.407972e-148 0.5061800  0.623 0.038 2.286702e-143 -0.6267424 0.2951444\n",
       "       expr_max\n",
       "ACTB   4.089300\n",
       "MAP9   1.626550\n",
       "MYL6   4.106468\n",
       "PKIB   1.676520\n",
       "ME1    1.478560\n",
       "MARCKS 1.910405"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
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       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>603</li><li>8</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 603\n",
       "\\item 8\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 603\n",
       "2. 8\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 603   8"
      ]
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    {
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      "text/html": [
       "df_dn"
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    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>p_val</th><th scope=col>avg_log2FC</th><th scope=col>pct.1</th><th scope=col>pct.2</th><th scope=col>p_val_adj</th><th scope=col>expr_min</th><th scope=col>expr_mean</th><th scope=col>expr_max</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>SLC3A2</th><td>4.077649e-216</td><td>-1.404636</td><td>0.954</td><td>1.000</td><td>9.911133e-212</td><td>0</td><td>2.00442304</td><td>4.055056</td></tr>\n",
       "\t<tr><th scope=row>MT1G</th><td>2.351338e-204</td><td>-3.923986</td><td>0.030</td><td>0.809</td><td>5.715163e-200</td><td>0</td><td>0.03373129</td><td>2.357016</td></tr>\n",
       "\t<tr><th scope=row>MTRNR2L8</th><td>3.295584e-202</td><td>-2.086704</td><td>0.248</td><td>1.000</td><td>8.010247e-198</td><td>0</td><td>0.63766998</td><td>4.351839</td></tr>\n",
       "\t<tr><th scope=row>NUPR1</th><td>1.764460e-193</td><td>-1.562209</td><td>0.443</td><td>1.000</td><td>4.288696e-189</td><td>0</td><td>1.11072400</td><td>5.360088</td></tr>\n",
       "\t<tr><th scope=row>HSPA5</th><td>1.098809e-191</td><td>-1.682083</td><td>0.716</td><td>0.998</td><td>2.670766e-187</td><td>0</td><td>1.28477873</td><td>3.872525</td></tr>\n",
       "\t<tr><th scope=row>HERPUD1</th><td>2.439895e-182</td><td>-1.514899</td><td>0.339</td><td>0.970</td><td>5.930410e-178</td><td>0</td><td>0.42779816</td><td>2.970285</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 8\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & p\\_val & avg\\_log2FC & pct.1 & pct.2 & p\\_val\\_adj & expr\\_min & expr\\_mean & expr\\_max\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tSLC3A2 & 4.077649e-216 & -1.404636 & 0.954 & 1.000 & 9.911133e-212 & 0 & 2.00442304 & 4.055056\\\\\n",
       "\tMT1G & 2.351338e-204 & -3.923986 & 0.030 & 0.809 & 5.715163e-200 & 0 & 0.03373129 & 2.357016\\\\\n",
       "\tMTRNR2L8 & 3.295584e-202 & -2.086704 & 0.248 & 1.000 & 8.010247e-198 & 0 & 0.63766998 & 4.351839\\\\\n",
       "\tNUPR1 & 1.764460e-193 & -1.562209 & 0.443 & 1.000 & 4.288696e-189 & 0 & 1.11072400 & 5.360088\\\\\n",
       "\tHSPA5 & 1.098809e-191 & -1.682083 & 0.716 & 0.998 & 2.670766e-187 & 0 & 1.28477873 & 3.872525\\\\\n",
       "\tHERPUD1 & 2.439895e-182 & -1.514899 & 0.339 & 0.970 & 5.930410e-178 & 0 & 0.42779816 & 2.970285\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 8\n",
       "\n",
       "| <!--/--> | p_val &lt;dbl&gt; | avg_log2FC &lt;dbl&gt; | pct.1 &lt;dbl&gt; | pct.2 &lt;dbl&gt; | p_val_adj &lt;dbl&gt; | expr_min &lt;dbl&gt; | expr_mean &lt;dbl&gt; | expr_max &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| SLC3A2 | 4.077649e-216 | -1.404636 | 0.954 | 1.000 | 9.911133e-212 | 0 | 2.00442304 | 4.055056 |\n",
       "| MT1G | 2.351338e-204 | -3.923986 | 0.030 | 0.809 | 5.715163e-200 | 0 | 0.03373129 | 2.357016 |\n",
       "| MTRNR2L8 | 3.295584e-202 | -2.086704 | 0.248 | 1.000 | 8.010247e-198 | 0 | 0.63766998 | 4.351839 |\n",
       "| NUPR1 | 1.764460e-193 | -1.562209 | 0.443 | 1.000 | 4.288696e-189 | 0 | 1.11072400 | 5.360088 |\n",
       "| HSPA5 | 1.098809e-191 | -1.682083 | 0.716 | 0.998 | 2.670766e-187 | 0 | 1.28477873 | 3.872525 |\n",
       "| HERPUD1 | 2.439895e-182 | -1.514899 | 0.339 | 0.970 | 5.930410e-178 | 0 | 0.42779816 | 2.970285 |\n",
       "\n"
      ],
      "text/plain": [
       "         p_val         avg_log2FC pct.1 pct.2 p_val_adj     expr_min expr_mean \n",
       "SLC3A2   4.077649e-216 -1.404636  0.954 1.000 9.911133e-212 0        2.00442304\n",
       "MT1G     2.351338e-204 -3.923986  0.030 0.809 5.715163e-200 0        0.03373129\n",
       "MTRNR2L8 3.295584e-202 -2.086704  0.248 1.000 8.010247e-198 0        0.63766998\n",
       "NUPR1    1.764460e-193 -1.562209  0.443 1.000 4.288696e-189 0        1.11072400\n",
       "HSPA5    1.098809e-191 -1.682083  0.716 0.998 2.670766e-187 0        1.28477873\n",
       "HERPUD1  2.439895e-182 -1.514899  0.339 0.970 5.930410e-178 0        0.42779816\n",
       "         expr_max\n",
       "SLC3A2   4.055056\n",
       "MT1G     2.357016\n",
       "MTRNR2L8 4.351839\n",
       "NUPR1    5.360088\n",
       "HSPA5    3.872525\n",
       "HERPUD1  2.970285"
      ]
     },
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       "</style>\n",
       "<ol class=list-inline><li>637</li><li>8</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 637\n",
       "\\item 8\n",
       "\\end{enumerate*}\n"
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       "1. 637\n",
       "2. 8\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 637   8"
      ]
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       "up h"
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    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 5 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>HALLMARK_OXIDATIVE_PHOSPHORYLATION</th><td>HALLMARK_OXIDATIVE_PHOSPHORYLATION</td><td>HALLMARK_OXIDATIVE_PHOSPHORYLATION</td><td>38/298</td><td>200/4386</td><td>2.654587e-09</td><td>1.327294e-07</td><td>1.061835e-07</td><td>ATP6V0E1/CPT1A/LDHB/NDUFA4/NDUFB3/LDHA/COX6B1/ATP1B1/NDUFV2/NDUFC2/COX6C/COX7A2/MGST3/NDUFS6/GPI/UQCR10/COX6A1/UQCR11/NDUFB2/UQCRH/NDUFB4/UQCRQ/NDUFA2/COX7B/COX5A/NDUFAB1/NDUFB1/NDUFC1/COX5B/TIMM8B/COX4I1/NDUFB6/CYB5A/SDHC/NDUFA8/NDUFA3/IDH2/NDUFB7</td><td>38</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MYC_TARGETS_V1</th><td>HALLMARK_MYC_TARGETS_V1           </td><td>HALLMARK_MYC_TARGETS_V1           </td><td>36/298</td><td>200/4386</td><td>3.235485e-08</td><td>8.088711e-07</td><td>6.470969e-07</td><td>HSPE1/LDHA/PPIA/RAN/PSMB3/SRSF2/PSMA7/NHP2/SET/YWHAE/SNRPD1/NME1/SSBP1/SRSF3/COX5A/HDAC2/SNRPG/PGK1/NDUFAB1/SNRPD3/CCT2/XPO1/PSMA1/C1QBP/CCT3/EIF4A1/SNRPD2/HNRNPA2B1/PSMB2/PSMA4/SRSF7/NOP56/PHB/HNRNPD/UBE2L3/LSM2                                    </td><td>36</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_ESTROGEN_RESPONSE_EARLY</th><td>HALLMARK_ESTROGEN_RESPONSE_EARLY  </td><td>HALLMARK_ESTROGEN_RESPONSE_EARLY  </td><td>29/298</td><td>200/4386</td><td>6.250329e-05</td><td>7.812911e-04</td><td>6.250329e-04</td><td>CISH/KRT15/KRT19/KRT8/CCND1/TSKU/NPY1R/LAD1/HSPB8/TGM2/PRSS23/SLC9A3R1/INHBB/RARA/MUC1/ABHD2/AMFR/IGFBP4/TFF3/SLC7A2/PEX11A/MYOF/SCNN1A/RHOBTB3/KRT18/TFF1/FKBP4/CLDN7/XBP1                                                                             </td><td>29</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_ESTROGEN_RESPONSE_LATE</th><td>HALLMARK_ESTROGEN_RESPONSE_LATE   </td><td>HALLMARK_ESTROGEN_RESPONSE_LATE   </td><td>29/298</td><td>200/4386</td><td>6.250329e-05</td><td>7.812911e-04</td><td>6.250329e-04</td><td>BTG3/CISH/CPE/KRT19/CCND1/NPY1R/MDK/HSPB8/FABP5/ATP2B4/CD9/PRSS23/SLC9A3R1/COX6C/S100A9/MOCS2/CDH1/ABHD2/AMFR/IGFBP4/TFF3/MYOF/SCNN1A/CXCL14/BATF/TFF1/FKBP4/IDH2/XBP1                                                                                  </td><td>29</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MTORC1_SIGNALING</th><td>HALLMARK_MTORC1_SIGNALING         </td><td>HALLMARK_MTORC1_SIGNALING         </td><td>27/298</td><td>200/4386</td><td>3.779901e-04</td><td>3.779901e-03</td><td>3.023921e-03</td><td>ME1/PLOD2/FADS2/FADS1/STC1/HSPE1/TPI1/LDHA/PRDX1/CD9/PPIA/SLC9A3R1/SCD/PPA1/GPI/GLRX/ENO1/EGLN3/GAPDH/CACYBP/PGK1/STIP1/TES/CCT6A/PSMA4/XBP1/HSPA4                                                                                                      </td><td>27</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 5 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tHALLMARK\\_OXIDATIVE\\_PHOSPHORYLATION & HALLMARK\\_OXIDATIVE\\_PHOSPHORYLATION & HALLMARK\\_OXIDATIVE\\_PHOSPHORYLATION & 38/298 & 200/4386 & 2.654587e-09 & 1.327294e-07 & 1.061835e-07 & ATP6V0E1/CPT1A/LDHB/NDUFA4/NDUFB3/LDHA/COX6B1/ATP1B1/NDUFV2/NDUFC2/COX6C/COX7A2/MGST3/NDUFS6/GPI/UQCR10/COX6A1/UQCR11/NDUFB2/UQCRH/NDUFB4/UQCRQ/NDUFA2/COX7B/COX5A/NDUFAB1/NDUFB1/NDUFC1/COX5B/TIMM8B/COX4I1/NDUFB6/CYB5A/SDHC/NDUFA8/NDUFA3/IDH2/NDUFB7 & 38\\\\\n",
       "\tHALLMARK\\_MYC\\_TARGETS\\_V1 & HALLMARK\\_MYC\\_TARGETS\\_V1            & HALLMARK\\_MYC\\_TARGETS\\_V1            & 36/298 & 200/4386 & 3.235485e-08 & 8.088711e-07 & 6.470969e-07 & HSPE1/LDHA/PPIA/RAN/PSMB3/SRSF2/PSMA7/NHP2/SET/YWHAE/SNRPD1/NME1/SSBP1/SRSF3/COX5A/HDAC2/SNRPG/PGK1/NDUFAB1/SNRPD3/CCT2/XPO1/PSMA1/C1QBP/CCT3/EIF4A1/SNRPD2/HNRNPA2B1/PSMB2/PSMA4/SRSF7/NOP56/PHB/HNRNPD/UBE2L3/LSM2                                     & 36\\\\\n",
       "\tHALLMARK\\_ESTROGEN\\_RESPONSE\\_EARLY & HALLMARK\\_ESTROGEN\\_RESPONSE\\_EARLY   & HALLMARK\\_ESTROGEN\\_RESPONSE\\_EARLY   & 29/298 & 200/4386 & 6.250329e-05 & 7.812911e-04 & 6.250329e-04 & CISH/KRT15/KRT19/KRT8/CCND1/TSKU/NPY1R/LAD1/HSPB8/TGM2/PRSS23/SLC9A3R1/INHBB/RARA/MUC1/ABHD2/AMFR/IGFBP4/TFF3/SLC7A2/PEX11A/MYOF/SCNN1A/RHOBTB3/KRT18/TFF1/FKBP4/CLDN7/XBP1                                                                              & 29\\\\\n",
       "\tHALLMARK\\_ESTROGEN\\_RESPONSE\\_LATE & HALLMARK\\_ESTROGEN\\_RESPONSE\\_LATE    & HALLMARK\\_ESTROGEN\\_RESPONSE\\_LATE    & 29/298 & 200/4386 & 6.250329e-05 & 7.812911e-04 & 6.250329e-04 & BTG3/CISH/CPE/KRT19/CCND1/NPY1R/MDK/HSPB8/FABP5/ATP2B4/CD9/PRSS23/SLC9A3R1/COX6C/S100A9/MOCS2/CDH1/ABHD2/AMFR/IGFBP4/TFF3/MYOF/SCNN1A/CXCL14/BATF/TFF1/FKBP4/IDH2/XBP1                                                                                   & 29\\\\\n",
       "\tHALLMARK\\_MTORC1\\_SIGNALING & HALLMARK\\_MTORC1\\_SIGNALING          & HALLMARK\\_MTORC1\\_SIGNALING          & 27/298 & 200/4386 & 3.779901e-04 & 3.779901e-03 & 3.023921e-03 & ME1/PLOD2/FADS2/FADS1/STC1/HSPE1/TPI1/LDHA/PRDX1/CD9/PPIA/SLC9A3R1/SCD/PPA1/GPI/GLRX/ENO1/EGLN3/GAPDH/CACYBP/PGK1/STIP1/TES/CCT6A/PSMA4/XBP1/HSPA4                                                                                                       & 27\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 5 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| HALLMARK_OXIDATIVE_PHOSPHORYLATION | HALLMARK_OXIDATIVE_PHOSPHORYLATION | HALLMARK_OXIDATIVE_PHOSPHORYLATION | 38/298 | 200/4386 | 2.654587e-09 | 1.327294e-07 | 1.061835e-07 | ATP6V0E1/CPT1A/LDHB/NDUFA4/NDUFB3/LDHA/COX6B1/ATP1B1/NDUFV2/NDUFC2/COX6C/COX7A2/MGST3/NDUFS6/GPI/UQCR10/COX6A1/UQCR11/NDUFB2/UQCRH/NDUFB4/UQCRQ/NDUFA2/COX7B/COX5A/NDUFAB1/NDUFB1/NDUFC1/COX5B/TIMM8B/COX4I1/NDUFB6/CYB5A/SDHC/NDUFA8/NDUFA3/IDH2/NDUFB7 | 38 |\n",
       "| HALLMARK_MYC_TARGETS_V1 | HALLMARK_MYC_TARGETS_V1            | HALLMARK_MYC_TARGETS_V1            | 36/298 | 200/4386 | 3.235485e-08 | 8.088711e-07 | 6.470969e-07 | HSPE1/LDHA/PPIA/RAN/PSMB3/SRSF2/PSMA7/NHP2/SET/YWHAE/SNRPD1/NME1/SSBP1/SRSF3/COX5A/HDAC2/SNRPG/PGK1/NDUFAB1/SNRPD3/CCT2/XPO1/PSMA1/C1QBP/CCT3/EIF4A1/SNRPD2/HNRNPA2B1/PSMB2/PSMA4/SRSF7/NOP56/PHB/HNRNPD/UBE2L3/LSM2                                     | 36 |\n",
       "| HALLMARK_ESTROGEN_RESPONSE_EARLY | HALLMARK_ESTROGEN_RESPONSE_EARLY   | HALLMARK_ESTROGEN_RESPONSE_EARLY   | 29/298 | 200/4386 | 6.250329e-05 | 7.812911e-04 | 6.250329e-04 | CISH/KRT15/KRT19/KRT8/CCND1/TSKU/NPY1R/LAD1/HSPB8/TGM2/PRSS23/SLC9A3R1/INHBB/RARA/MUC1/ABHD2/AMFR/IGFBP4/TFF3/SLC7A2/PEX11A/MYOF/SCNN1A/RHOBTB3/KRT18/TFF1/FKBP4/CLDN7/XBP1                                                                              | 29 |\n",
       "| HALLMARK_ESTROGEN_RESPONSE_LATE | HALLMARK_ESTROGEN_RESPONSE_LATE    | HALLMARK_ESTROGEN_RESPONSE_LATE    | 29/298 | 200/4386 | 6.250329e-05 | 7.812911e-04 | 6.250329e-04 | BTG3/CISH/CPE/KRT19/CCND1/NPY1R/MDK/HSPB8/FABP5/ATP2B4/CD9/PRSS23/SLC9A3R1/COX6C/S100A9/MOCS2/CDH1/ABHD2/AMFR/IGFBP4/TFF3/MYOF/SCNN1A/CXCL14/BATF/TFF1/FKBP4/IDH2/XBP1                                                                                   | 29 |\n",
       "| HALLMARK_MTORC1_SIGNALING | HALLMARK_MTORC1_SIGNALING          | HALLMARK_MTORC1_SIGNALING          | 27/298 | 200/4386 | 3.779901e-04 | 3.779901e-03 | 3.023921e-03 | ME1/PLOD2/FADS2/FADS1/STC1/HSPE1/TPI1/LDHA/PRDX1/CD9/PPIA/SLC9A3R1/SCD/PPA1/GPI/GLRX/ENO1/EGLN3/GAPDH/CACYBP/PGK1/STIP1/TES/CCT6A/PSMA4/XBP1/HSPA4                                                                                                       | 27 |\n",
       "\n"
      ],
      "text/plain": [
       "                                   ID                                \n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION HALLMARK_OXIDATIVE_PHOSPHORYLATION\n",
       "HALLMARK_MYC_TARGETS_V1            HALLMARK_MYC_TARGETS_V1           \n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY   HALLMARK_ESTROGEN_RESPONSE_EARLY  \n",
       "HALLMARK_ESTROGEN_RESPONSE_LATE    HALLMARK_ESTROGEN_RESPONSE_LATE   \n",
       "HALLMARK_MTORC1_SIGNALING          HALLMARK_MTORC1_SIGNALING         \n",
       "                                   Description                        GeneRatio\n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION HALLMARK_OXIDATIVE_PHOSPHORYLATION 38/298   \n",
       "HALLMARK_MYC_TARGETS_V1            HALLMARK_MYC_TARGETS_V1            36/298   \n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY   HALLMARK_ESTROGEN_RESPONSE_EARLY   29/298   \n",
       "HALLMARK_ESTROGEN_RESPONSE_LATE    HALLMARK_ESTROGEN_RESPONSE_LATE    29/298   \n",
       "HALLMARK_MTORC1_SIGNALING          HALLMARK_MTORC1_SIGNALING          27/298   \n",
       "                                   BgRatio  pvalue       p.adjust    \n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION 200/4386 2.654587e-09 1.327294e-07\n",
       "HALLMARK_MYC_TARGETS_V1            200/4386 3.235485e-08 8.088711e-07\n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY   200/4386 6.250329e-05 7.812911e-04\n",
       "HALLMARK_ESTROGEN_RESPONSE_LATE    200/4386 6.250329e-05 7.812911e-04\n",
       "HALLMARK_MTORC1_SIGNALING          200/4386 3.779901e-04 3.779901e-03\n",
       "                                   qvalue      \n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION 1.061835e-07\n",
       "HALLMARK_MYC_TARGETS_V1            6.470969e-07\n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY   6.250329e-04\n",
       "HALLMARK_ESTROGEN_RESPONSE_LATE    6.250329e-04\n",
       "HALLMARK_MTORC1_SIGNALING          3.023921e-03\n",
       "                                   geneID                                                                                                                                                                                                                                                  \n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION ATP6V0E1/CPT1A/LDHB/NDUFA4/NDUFB3/LDHA/COX6B1/ATP1B1/NDUFV2/NDUFC2/COX6C/COX7A2/MGST3/NDUFS6/GPI/UQCR10/COX6A1/UQCR11/NDUFB2/UQCRH/NDUFB4/UQCRQ/NDUFA2/COX7B/COX5A/NDUFAB1/NDUFB1/NDUFC1/COX5B/TIMM8B/COX4I1/NDUFB6/CYB5A/SDHC/NDUFA8/NDUFA3/IDH2/NDUFB7\n",
       "HALLMARK_MYC_TARGETS_V1            HSPE1/LDHA/PPIA/RAN/PSMB3/SRSF2/PSMA7/NHP2/SET/YWHAE/SNRPD1/NME1/SSBP1/SRSF3/COX5A/HDAC2/SNRPG/PGK1/NDUFAB1/SNRPD3/CCT2/XPO1/PSMA1/C1QBP/CCT3/EIF4A1/SNRPD2/HNRNPA2B1/PSMB2/PSMA4/SRSF7/NOP56/PHB/HNRNPD/UBE2L3/LSM2                                    \n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY   CISH/KRT15/KRT19/KRT8/CCND1/TSKU/NPY1R/LAD1/HSPB8/TGM2/PRSS23/SLC9A3R1/INHBB/RARA/MUC1/ABHD2/AMFR/IGFBP4/TFF3/SLC7A2/PEX11A/MYOF/SCNN1A/RHOBTB3/KRT18/TFF1/FKBP4/CLDN7/XBP1                                                                             \n",
       "HALLMARK_ESTROGEN_RESPONSE_LATE    BTG3/CISH/CPE/KRT19/CCND1/NPY1R/MDK/HSPB8/FABP5/ATP2B4/CD9/PRSS23/SLC9A3R1/COX6C/S100A9/MOCS2/CDH1/ABHD2/AMFR/IGFBP4/TFF3/MYOF/SCNN1A/CXCL14/BATF/TFF1/FKBP4/IDH2/XBP1                                                                                  \n",
       "HALLMARK_MTORC1_SIGNALING          ME1/PLOD2/FADS2/FADS1/STC1/HSPE1/TPI1/LDHA/PRDX1/CD9/PPIA/SLC9A3R1/SCD/PPA1/GPI/GLRX/ENO1/EGLN3/GAPDH/CACYBP/PGK1/STIP1/TES/CCT6A/PSMA4/XBP1/HSPA4                                                                                                      \n",
       "                                   Count\n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION 38   \n",
       "HALLMARK_MYC_TARGETS_V1            36   \n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY   29   \n",
       "HALLMARK_ESTROGEN_RESPONSE_LATE    29   \n",
       "HALLMARK_MTORC1_SIGNALING          27   "
      ]
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       "<ol class=list-inline><li>5</li><li>9</li></ol>\n"
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       "\\begin{enumerate*}\n",
       "\\item 5\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
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       "1. 5\n",
       "2. 9\n",
       "\n",
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       "[1] 5 9"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>GATA3.induced.genes_JCO.2006_PMID.16505416</th><td>GATA3.induced.genes_JCO.2006_PMID.16505416        </td><td>GATA3.induced.genes_JCO.2006_PMID.16505416        </td><td>52/580</td><td>277/19993</td><td>2.266054e-27</td><td>8.905591e-25</td><td>5.844033e-25</td><td>TACSTD2/HSPB1/S100A11/PRR15L/KRT15/SECTM1/KRT19/KRT8/SLC16A3/LAD1/GATA3/CEACAM6/FXYD3/CD24/ALDH1A3/TM4SF1/EGR1/SAMD12/C19orf33/VAMP8/CLU/ATP1B1/CD9/SLC9A3R1/S100A9/INHBB/SDC1/CALM1/LGALS3BP/ARPC1B/TFF3/MYOF/ID1/CYP1B1/TSPAN15/S100A4/SMIM22/KRT7/KRT18/ADIRF/BATF/TFF1/NDUFB9/ARHGDIB/OCIAD2/CLDN4/S100A16/CLDN7/CLDN3/CRIP2/XBP1/TMC5</td><td>52</td></tr>\n",
       "\t<tr><th scope=row>T47D_control_vs_tamoxifen_down_Tumor cells</th><td>T47D_control_vs_tamoxifen_down_Tumor cells        </td><td>T47D_control_vs_tamoxifen_down_Tumor cells        </td><td>30/580</td><td>107/19993</td><td>1.423349e-21</td><td>2.796880e-19</td><td>1.835371e-19</td><td>DYNLL1/ATP5MC3/HSP90AA1/JPT1/KRT19/MARCKSL1/SLC40A1/LDHA/NDUFC2/RUNX1/IGFBP4/ID1/SFPQ/ENO1/TUBB4B/THBS1/HNRNPM/CCT2/ARPC5/FKBP4/CCT3/SNRPB/DNAJA1/HNRNPA2B1/GOLM1/NDUFA8/SRSF7/TMBIM4/TRPS1/DEGS2                                                                                                                                         </td><td>30</td></tr>\n",
       "\t<tr><th scope=row>MCF7.E2.induced.genes_JCO.2006_PMID.16505416</th><td>MCF7.E2.induced.genes_JCO.2006_PMID.16505416      </td><td>MCF7.E2.induced.genes_JCO.2006_PMID.16505416      </td><td>43/580</td><td>290/19993</td><td>1.053687e-18</td><td>1.380330e-16</td><td>9.058013e-17</td><td>ACTB/PKIB/BTG3/KRT15/HIF1A/JPT1/FADS1/KRT8/CCND1/TUBB6/NPY1R/LAD1/FABP5/ATP1B1/PRSS23/TPM3/RAN/CORO1C/TPM1/SRSF2/SCD/AMFR/IGFBP4/SNRPD1/SPATS2L/TPM4/ACTN1/LETM1/SRSF3/CYP1B1/DHX9/RAB32/HIGD1A/TFF1/FKBP4/ALYREF/DIAPH1/ARF6/RBM8A/CCT6A/NOP56/XBP1/ZFP36L2                                                                              </td><td>43</td></tr>\n",
       "\t<tr><th scope=row>MITO1_BMC.Med.Genomics.2011_PMID.21214954</th><td>MITO1_BMC.Med.Genomics.2011_PMID.21214954         </td><td>MITO1_BMC.Med.Genomics.2011_PMID.21214954         </td><td>16/580</td><td>38/19993 </td><td>2.527547e-15</td><td>2.483315e-13</td><td>1.629602e-13</td><td>DYNLL1/POMP/TXN/TMA7/COX7A2/SEM1/COX6A1/UQCR11/NDUFB2/UQCRQ/NDUFB1/NDUFC1/COX5B/TIMM8B/LSM5/ORMDL2                                                                                                                                                                                                                                        </td><td>16</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954</td><td>UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954</td><td>30/580</td><td>174/19993</td><td>3.179204e-15</td><td>2.498854e-13</td><td>1.639800e-13</td><td>ACTB/MARCKS/PLOD2/S100A11/HIF1A/JPT1/VIM/SLC16A3/MX1/TUBB6/PLAUR/CTSL/PLAU/S100A10/FLNA/CKLF/IFI6/TIMP2/S100A9/CORO1C/ARPC2/PSMA7/SPATS2L/TPM4/S100A4/MSN/CAPZB/CTSB/CD74/NPC2                                                                                                                                                            </td><td>30</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954  </td><td>UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954  </td><td>27/580</td><td>143/19993</td><td>7.643772e-15</td><td>5.006671e-13</td><td>3.285481e-13</td><td>ZFHX3/HSPB1/PRR15L/STC1/CALML5/CEACAM6/FXYD3/CACNG4/SLC9A3R1/PSMB3/CDH1/ITGB6/RARA/SCD/SYNGR2/CEACAM5/TFF3/SLC12A2/APRT/ITGA3/GPRC5A/TFF1/ZNF217/PHB/FKBP3/ORMDL2/SNF8                                                                                                                                                                    </td><td>27</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tGATA3.induced.genes\\_JCO.2006\\_PMID.16505416 & GATA3.induced.genes\\_JCO.2006\\_PMID.16505416         & GATA3.induced.genes\\_JCO.2006\\_PMID.16505416         & 52/580 & 277/19993 & 2.266054e-27 & 8.905591e-25 & 5.844033e-25 & TACSTD2/HSPB1/S100A11/PRR15L/KRT15/SECTM1/KRT19/KRT8/SLC16A3/LAD1/GATA3/CEACAM6/FXYD3/CD24/ALDH1A3/TM4SF1/EGR1/SAMD12/C19orf33/VAMP8/CLU/ATP1B1/CD9/SLC9A3R1/S100A9/INHBB/SDC1/CALM1/LGALS3BP/ARPC1B/TFF3/MYOF/ID1/CYP1B1/TSPAN15/S100A4/SMIM22/KRT7/KRT18/ADIRF/BATF/TFF1/NDUFB9/ARHGDIB/OCIAD2/CLDN4/S100A16/CLDN7/CLDN3/CRIP2/XBP1/TMC5 & 52\\\\\n",
       "\tT47D\\_control\\_vs\\_tamoxifen\\_down\\_Tumor cells & T47D\\_control\\_vs\\_tamoxifen\\_down\\_Tumor cells         & T47D\\_control\\_vs\\_tamoxifen\\_down\\_Tumor cells         & 30/580 & 107/19993 & 1.423349e-21 & 2.796880e-19 & 1.835371e-19 & DYNLL1/ATP5MC3/HSP90AA1/JPT1/KRT19/MARCKSL1/SLC40A1/LDHA/NDUFC2/RUNX1/IGFBP4/ID1/SFPQ/ENO1/TUBB4B/THBS1/HNRNPM/CCT2/ARPC5/FKBP4/CCT3/SNRPB/DNAJA1/HNRNPA2B1/GOLM1/NDUFA8/SRSF7/TMBIM4/TRPS1/DEGS2                                                                                                                                          & 30\\\\\n",
       "\tMCF7.E2.induced.genes\\_JCO.2006\\_PMID.16505416 & MCF7.E2.induced.genes\\_JCO.2006\\_PMID.16505416       & MCF7.E2.induced.genes\\_JCO.2006\\_PMID.16505416       & 43/580 & 290/19993 & 1.053687e-18 & 1.380330e-16 & 9.058013e-17 & ACTB/PKIB/BTG3/KRT15/HIF1A/JPT1/FADS1/KRT8/CCND1/TUBB6/NPY1R/LAD1/FABP5/ATP1B1/PRSS23/TPM3/RAN/CORO1C/TPM1/SRSF2/SCD/AMFR/IGFBP4/SNRPD1/SPATS2L/TPM4/ACTN1/LETM1/SRSF3/CYP1B1/DHX9/RAB32/HIGD1A/TFF1/FKBP4/ALYREF/DIAPH1/ARF6/RBM8A/CCT6A/NOP56/XBP1/ZFP36L2                                                                               & 43\\\\\n",
       "\tMITO1\\_BMC.Med.Genomics.2011\\_PMID.21214954 & MITO1\\_BMC.Med.Genomics.2011\\_PMID.21214954          & MITO1\\_BMC.Med.Genomics.2011\\_PMID.21214954          & 16/580 & 38/19993  & 2.527547e-15 & 2.483315e-13 & 1.629602e-13 & DYNLL1/POMP/TXN/TMA7/COX7A2/SEM1/COX6A1/UQCR11/NDUFB2/UQCRQ/NDUFB1/NDUFC1/COX5B/TIMM8B/LSM5/ORMDL2                                                                                                                                                                                                                                         & 16\\\\\n",
       "\tUNC\\_HS\\_Green20\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Green20\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Green20\\_BMC.Med.Genomics.2011\\_PMID.21214954 & 30/580 & 174/19993 & 3.179204e-15 & 2.498854e-13 & 1.639800e-13 & ACTB/MARCKS/PLOD2/S100A11/HIF1A/JPT1/VIM/SLC16A3/MX1/TUBB6/PLAUR/CTSL/PLAU/S100A10/FLNA/CKLF/IFI6/TIMP2/S100A9/CORO1C/ARPC2/PSMA7/SPATS2L/TPM4/S100A4/MSN/CAPZB/CTSB/CD74/NPC2                                                                                                                                                             & 30\\\\\n",
       "\tUNC\\_HS\\_Red25\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Red25\\_BMC.Med.Genomics.2011\\_PMID.21214954   & UNC\\_HS\\_Red25\\_BMC.Med.Genomics.2011\\_PMID.21214954   & 27/580 & 143/19993 & 7.643772e-15 & 5.006671e-13 & 3.285481e-13 & ZFHX3/HSPB1/PRR15L/STC1/CALML5/CEACAM6/FXYD3/CACNG4/SLC9A3R1/PSMB3/CDH1/ITGB6/RARA/SCD/SYNGR2/CEACAM5/TFF3/SLC12A2/APRT/ITGA3/GPRC5A/TFF1/ZNF217/PHB/FKBP3/ORMDL2/SNF8                                                                                                                                                                     & 27\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| GATA3.induced.genes_JCO.2006_PMID.16505416 | GATA3.induced.genes_JCO.2006_PMID.16505416         | GATA3.induced.genes_JCO.2006_PMID.16505416         | 52/580 | 277/19993 | 2.266054e-27 | 8.905591e-25 | 5.844033e-25 | TACSTD2/HSPB1/S100A11/PRR15L/KRT15/SECTM1/KRT19/KRT8/SLC16A3/LAD1/GATA3/CEACAM6/FXYD3/CD24/ALDH1A3/TM4SF1/EGR1/SAMD12/C19orf33/VAMP8/CLU/ATP1B1/CD9/SLC9A3R1/S100A9/INHBB/SDC1/CALM1/LGALS3BP/ARPC1B/TFF3/MYOF/ID1/CYP1B1/TSPAN15/S100A4/SMIM22/KRT7/KRT18/ADIRF/BATF/TFF1/NDUFB9/ARHGDIB/OCIAD2/CLDN4/S100A16/CLDN7/CLDN3/CRIP2/XBP1/TMC5 | 52 |\n",
       "| T47D_control_vs_tamoxifen_down_Tumor cells | T47D_control_vs_tamoxifen_down_Tumor cells         | T47D_control_vs_tamoxifen_down_Tumor cells         | 30/580 | 107/19993 | 1.423349e-21 | 2.796880e-19 | 1.835371e-19 | DYNLL1/ATP5MC3/HSP90AA1/JPT1/KRT19/MARCKSL1/SLC40A1/LDHA/NDUFC2/RUNX1/IGFBP4/ID1/SFPQ/ENO1/TUBB4B/THBS1/HNRNPM/CCT2/ARPC5/FKBP4/CCT3/SNRPB/DNAJA1/HNRNPA2B1/GOLM1/NDUFA8/SRSF7/TMBIM4/TRPS1/DEGS2                                                                                                                                          | 30 |\n",
       "| MCF7.E2.induced.genes_JCO.2006_PMID.16505416 | MCF7.E2.induced.genes_JCO.2006_PMID.16505416       | MCF7.E2.induced.genes_JCO.2006_PMID.16505416       | 43/580 | 290/19993 | 1.053687e-18 | 1.380330e-16 | 9.058013e-17 | ACTB/PKIB/BTG3/KRT15/HIF1A/JPT1/FADS1/KRT8/CCND1/TUBB6/NPY1R/LAD1/FABP5/ATP1B1/PRSS23/TPM3/RAN/CORO1C/TPM1/SRSF2/SCD/AMFR/IGFBP4/SNRPD1/SPATS2L/TPM4/ACTN1/LETM1/SRSF3/CYP1B1/DHX9/RAB32/HIGD1A/TFF1/FKBP4/ALYREF/DIAPH1/ARF6/RBM8A/CCT6A/NOP56/XBP1/ZFP36L2                                                                               | 43 |\n",
       "| MITO1_BMC.Med.Genomics.2011_PMID.21214954 | MITO1_BMC.Med.Genomics.2011_PMID.21214954          | MITO1_BMC.Med.Genomics.2011_PMID.21214954          | 16/580 | 38/19993  | 2.527547e-15 | 2.483315e-13 | 1.629602e-13 | DYNLL1/POMP/TXN/TMA7/COX7A2/SEM1/COX6A1/UQCR11/NDUFB2/UQCRQ/NDUFB1/NDUFC1/COX5B/TIMM8B/LSM5/ORMDL2                                                                                                                                                                                                                                         | 16 |\n",
       "| UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954 | 30/580 | 174/19993 | 3.179204e-15 | 2.498854e-13 | 1.639800e-13 | ACTB/MARCKS/PLOD2/S100A11/HIF1A/JPT1/VIM/SLC16A3/MX1/TUBB6/PLAUR/CTSL/PLAU/S100A10/FLNA/CKLF/IFI6/TIMP2/S100A9/CORO1C/ARPC2/PSMA7/SPATS2L/TPM4/S100A4/MSN/CAPZB/CTSB/CD74/NPC2                                                                                                                                                             | 30 |\n",
       "| UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954   | UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954   | 27/580 | 143/19993 | 7.643772e-15 | 5.006671e-13 | 3.285481e-13 | ZFHX3/HSPB1/PRR15L/STC1/CALML5/CEACAM6/FXYD3/CACNG4/SLC9A3R1/PSMB3/CDH1/ITGB6/RARA/SCD/SYNGR2/CEACAM5/TFF3/SLC12A2/APRT/ITGA3/GPRC5A/TFF1/ZNF217/PHB/FKBP3/ORMDL2/SNF8                                                                                                                                                                     | 27 |\n",
       "\n"
      ],
      "text/plain": [
       "                                                   ID                                                \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416         GATA3.induced.genes_JCO.2006_PMID.16505416        \n",
       "T47D_control_vs_tamoxifen_down_Tumor cells         T47D_control_vs_tamoxifen_down_Tumor cells        \n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416       MCF7.E2.induced.genes_JCO.2006_PMID.16505416      \n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954          MITO1_BMC.Med.Genomics.2011_PMID.21214954         \n",
       "UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954 UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954\n",
       "UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "                                                   Description                                       \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416         GATA3.induced.genes_JCO.2006_PMID.16505416        \n",
       "T47D_control_vs_tamoxifen_down_Tumor cells         T47D_control_vs_tamoxifen_down_Tumor cells        \n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416       MCF7.E2.induced.genes_JCO.2006_PMID.16505416      \n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954          MITO1_BMC.Med.Genomics.2011_PMID.21214954         \n",
       "UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954 UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954\n",
       "UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "                                                   GeneRatio BgRatio  \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416         52/580    277/19993\n",
       "T47D_control_vs_tamoxifen_down_Tumor cells         30/580    107/19993\n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416       43/580    290/19993\n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954          16/580    38/19993 \n",
       "UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954 30/580    174/19993\n",
       "UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954   27/580    143/19993\n",
       "                                                   pvalue       p.adjust    \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416         2.266054e-27 8.905591e-25\n",
       "T47D_control_vs_tamoxifen_down_Tumor cells         1.423349e-21 2.796880e-19\n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416       1.053687e-18 1.380330e-16\n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954          2.527547e-15 2.483315e-13\n",
       "UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954 3.179204e-15 2.498854e-13\n",
       "UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954   7.643772e-15 5.006671e-13\n",
       "                                                   qvalue      \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416         5.844033e-25\n",
       "T47D_control_vs_tamoxifen_down_Tumor cells         1.835371e-19\n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416       9.058013e-17\n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954          1.629602e-13\n",
       "UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954 1.639800e-13\n",
       "UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954   3.285481e-13\n",
       "                                                   geneID                                                                                                                                                                                                                                                                                                                                    \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416         TACSTD2/HSPB1/S100A11/PRR15L/KRT15/SECTM1/KRT19/KRT8/SLC16A3/LAD1/GATA3/CEACAM6/FXYD3/CD24/ALDH1A3/TM4SF1/EGR1/SAMD12/C19orf33/VAMP8/CLU/ATP1B1/CD9/SLC9A3R1/S100A9/INHBB/SDC1/CALM1/LGALS3BP/ARPC1B/TFF3/MYOF/ID1/CYP1B1/TSPAN15/S100A4/SMIM22/KRT7/KRT18/ADIRF/BATF/TFF1/NDUFB9/ARHGDIB/OCIAD2/CLDN4/S100A16/CLDN7/CLDN3/CRIP2/XBP1/TMC5\n",
       "T47D_control_vs_tamoxifen_down_Tumor cells         DYNLL1/ATP5MC3/HSP90AA1/JPT1/KRT19/MARCKSL1/SLC40A1/LDHA/NDUFC2/RUNX1/IGFBP4/ID1/SFPQ/ENO1/TUBB4B/THBS1/HNRNPM/CCT2/ARPC5/FKBP4/CCT3/SNRPB/DNAJA1/HNRNPA2B1/GOLM1/NDUFA8/SRSF7/TMBIM4/TRPS1/DEGS2                                                                                                                                         \n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416       ACTB/PKIB/BTG3/KRT15/HIF1A/JPT1/FADS1/KRT8/CCND1/TUBB6/NPY1R/LAD1/FABP5/ATP1B1/PRSS23/TPM3/RAN/CORO1C/TPM1/SRSF2/SCD/AMFR/IGFBP4/SNRPD1/SPATS2L/TPM4/ACTN1/LETM1/SRSF3/CYP1B1/DHX9/RAB32/HIGD1A/TFF1/FKBP4/ALYREF/DIAPH1/ARF6/RBM8A/CCT6A/NOP56/XBP1/ZFP36L2                                                                              \n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954          DYNLL1/POMP/TXN/TMA7/COX7A2/SEM1/COX6A1/UQCR11/NDUFB2/UQCRQ/NDUFB1/NDUFC1/COX5B/TIMM8B/LSM5/ORMDL2                                                                                                                                                                                                                                        \n",
       "UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954 ACTB/MARCKS/PLOD2/S100A11/HIF1A/JPT1/VIM/SLC16A3/MX1/TUBB6/PLAUR/CTSL/PLAU/S100A10/FLNA/CKLF/IFI6/TIMP2/S100A9/CORO1C/ARPC2/PSMA7/SPATS2L/TPM4/S100A4/MSN/CAPZB/CTSB/CD74/NPC2                                                                                                                                                            \n",
       "UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954   ZFHX3/HSPB1/PRR15L/STC1/CALML5/CEACAM6/FXYD3/CACNG4/SLC9A3R1/PSMB3/CDH1/ITGB6/RARA/SCD/SYNGR2/CEACAM5/TFF3/SLC12A2/APRT/ITGA3/GPRC5A/TFF1/ZNF217/PHB/FKBP3/ORMDL2/SNF8                                                                                                                                                                    \n",
       "                                                   Count\n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416         52   \n",
       "T47D_control_vs_tamoxifen_down_Tumor cells         30   \n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416       43   \n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954          16   \n",
       "UNC_HS_Green20_BMC.Med.Genomics.2011_PMID.21214954 30   \n",
       "UNC_HS_Red25_BMC.Med.Genomics.2011_PMID.21214954   27   "
      ]
     },
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     "data": {
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       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
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       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>117</li><li>9</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 117\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 117\n",
       "2. 9\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 117   9"
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       "down h"
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     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>HALLMARK_UNFOLDED_PROTEIN_RESPONSE</th><td>HALLMARK_UNFOLDED_PROTEIN_RESPONSE</td><td>HALLMARK_UNFOLDED_PROTEIN_RESPONSE</td><td>35/232</td><td>113/4386</td><td>8.898574e-19</td><td>4.182330e-17</td><td>3.278422e-17</td><td>HSPA5/HERPUD1/DDX10/SERP1/HSP90B1/ASNS/CEBPG/DNAJB9/PDIA6/HYOU1/MTHFD2/ATF4/DDIT4/DNAJC3/EIF2AK3/HSPA9/SRPRB/FKBP14/PDIA5/CALR/PSAT1/SSR1/EXOSC1/CKS1B/TSPYL2/SLC1A4/IARS/CHAC1/EIF4EBP1/VEGFA/SEC31A/ATF3/WIPI1/CEBPB/XPOT                                            </td><td>35</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MTORC1_SIGNALING</th><td>HALLMARK_MTORC1_SIGNALING         </td><td>HALLMARK_MTORC1_SIGNALING         </td><td>43/232</td><td>200/4386</td><td>2.677399e-16</td><td>6.291888e-15</td><td>4.932051e-15</td><td>NUPR1/HSPA5/DDIT3/PHGDH/SDF2L1/SERP1/HSP90B1/TRIB3/ASNS/SQSTM1/GOT1/SQLE/TCEA1/CANX/HMGCR/MTHFD2/TUBA4A/FAM129A/DDIT4/HSPA9/SHMT2/CALR/HMGCS1/EPRS/PSAT1/SSR1/FKBP2/IDI1/IFRD1/SLC1A4/USO1/EIF2S2/PPP1R15A/UFM1/LDLR/SLC7A11/EBP/INSIG1/RPN1/DHCR7/HSPD1/BHLHE40/TXNRD1</td><td>43</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_CHOLESTEROL_HOMEOSTASIS</th><td>HALLMARK_CHOLESTEROL_HOMEOSTASIS  </td><td>HALLMARK_CHOLESTEROL_HOMEOSTASIS  </td><td>18/232</td><td>74/4386 </td><td>2.793102e-08</td><td>4.375860e-07</td><td>3.430125e-07</td><td>TRIB3/STX5/SQLE/HMGCR/FAM129A/MVD/HMGCS1/HSD17B7/IDI1/FDPS/SREBF2/ECH1/PNRC1/ATF3/LDLR/TNFRSF12A/EBP/DHCR7                                                                                                                                                             </td><td>18</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_PROTEIN_SECRETION</th><td>HALLMARK_PROTEIN_SECRETION        </td><td>HALLMARK_PROTEIN_SECRETION        </td><td>18/232</td><td>96/4386 </td><td>1.840627e-06</td><td>2.162737e-05</td><td>1.695315e-05</td><td>ARFGAP3/LMAN1/COPE/ARCN1/RAB9A/SEC24D/GOLGA4/RAB5A/BET1/ARF1/USO1/TPD52/SEC31A/TMED10/ICA1/COPB2/DST/NAPA                                                                                                                                                              </td><td>18</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_TNFA_SIGNALING_VIA_NFKB</th><td>HALLMARK_TNFA_SIGNALING_VIA_NFKB  </td><td>HALLMARK_TNFA_SIGNALING_VIA_NFKB  </td><td>26/232</td><td>200/4386</td><td>1.349707e-05</td><td>1.268724e-04</td><td>9.945207e-05</td><td>SQSTM1/EIF1/GEM/RIPK2/BTG1/CD44/HBEGF/GADD45A/VEGFA/PPP1R15A/JUN/PNRC1/TNFAIP8/REL/IRF1/ATF3/LDLR/CEBPB/TRIB1/TSC22D1/NFKBIA/DUSP1/LITAF/BHLHE40/KLF6/GADD45B                                                                                                          </td><td>26</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_ANDROGEN_RESPONSE</th><td>HALLMARK_ANDROGEN_RESPONSE        </td><td>HALLMARK_ANDROGEN_RESPONSE        </td><td>17/232</td><td>101/4386</td><td>1.638811e-05</td><td>1.283735e-04</td><td>1.006287e-04</td><td>LMAN1/DNAJB9/PGM3/HMGCR/HMGCS1/SEC24D/HOMER2/IDI1/TPD52/SLC38A2/TNFAIP8/SRP19/H1F0/TSC22D1/INSIG1/GNAI3/ITGAV                                                                                                                                                          </td><td>17</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tHALLMARK\\_UNFOLDED\\_PROTEIN\\_RESPONSE & HALLMARK\\_UNFOLDED\\_PROTEIN\\_RESPONSE & HALLMARK\\_UNFOLDED\\_PROTEIN\\_RESPONSE & 35/232 & 113/4386 & 8.898574e-19 & 4.182330e-17 & 3.278422e-17 & HSPA5/HERPUD1/DDX10/SERP1/HSP90B1/ASNS/CEBPG/DNAJB9/PDIA6/HYOU1/MTHFD2/ATF4/DDIT4/DNAJC3/EIF2AK3/HSPA9/SRPRB/FKBP14/PDIA5/CALR/PSAT1/SSR1/EXOSC1/CKS1B/TSPYL2/SLC1A4/IARS/CHAC1/EIF4EBP1/VEGFA/SEC31A/ATF3/WIPI1/CEBPB/XPOT                                             & 35\\\\\n",
       "\tHALLMARK\\_MTORC1\\_SIGNALING & HALLMARK\\_MTORC1\\_SIGNALING          & HALLMARK\\_MTORC1\\_SIGNALING          & 43/232 & 200/4386 & 2.677399e-16 & 6.291888e-15 & 4.932051e-15 & NUPR1/HSPA5/DDIT3/PHGDH/SDF2L1/SERP1/HSP90B1/TRIB3/ASNS/SQSTM1/GOT1/SQLE/TCEA1/CANX/HMGCR/MTHFD2/TUBA4A/FAM129A/DDIT4/HSPA9/SHMT2/CALR/HMGCS1/EPRS/PSAT1/SSR1/FKBP2/IDI1/IFRD1/SLC1A4/USO1/EIF2S2/PPP1R15A/UFM1/LDLR/SLC7A11/EBP/INSIG1/RPN1/DHCR7/HSPD1/BHLHE40/TXNRD1 & 43\\\\\n",
       "\tHALLMARK\\_CHOLESTEROL\\_HOMEOSTASIS & HALLMARK\\_CHOLESTEROL\\_HOMEOSTASIS   & HALLMARK\\_CHOLESTEROL\\_HOMEOSTASIS   & 18/232 & 74/4386  & 2.793102e-08 & 4.375860e-07 & 3.430125e-07 & TRIB3/STX5/SQLE/HMGCR/FAM129A/MVD/HMGCS1/HSD17B7/IDI1/FDPS/SREBF2/ECH1/PNRC1/ATF3/LDLR/TNFRSF12A/EBP/DHCR7                                                                                                                                                              & 18\\\\\n",
       "\tHALLMARK\\_PROTEIN\\_SECRETION & HALLMARK\\_PROTEIN\\_SECRETION         & HALLMARK\\_PROTEIN\\_SECRETION         & 18/232 & 96/4386  & 1.840627e-06 & 2.162737e-05 & 1.695315e-05 & ARFGAP3/LMAN1/COPE/ARCN1/RAB9A/SEC24D/GOLGA4/RAB5A/BET1/ARF1/USO1/TPD52/SEC31A/TMED10/ICA1/COPB2/DST/NAPA                                                                                                                                                               & 18\\\\\n",
       "\tHALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB & HALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB   & HALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB   & 26/232 & 200/4386 & 1.349707e-05 & 1.268724e-04 & 9.945207e-05 & SQSTM1/EIF1/GEM/RIPK2/BTG1/CD44/HBEGF/GADD45A/VEGFA/PPP1R15A/JUN/PNRC1/TNFAIP8/REL/IRF1/ATF3/LDLR/CEBPB/TRIB1/TSC22D1/NFKBIA/DUSP1/LITAF/BHLHE40/KLF6/GADD45B                                                                                                           & 26\\\\\n",
       "\tHALLMARK\\_ANDROGEN\\_RESPONSE & HALLMARK\\_ANDROGEN\\_RESPONSE         & HALLMARK\\_ANDROGEN\\_RESPONSE         & 17/232 & 101/4386 & 1.638811e-05 & 1.283735e-04 & 1.006287e-04 & LMAN1/DNAJB9/PGM3/HMGCR/HMGCS1/SEC24D/HOMER2/IDI1/TPD52/SLC38A2/TNFAIP8/SRP19/H1F0/TSC22D1/INSIG1/GNAI3/ITGAV                                                                                                                                                           & 17\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| HALLMARK_UNFOLDED_PROTEIN_RESPONSE | HALLMARK_UNFOLDED_PROTEIN_RESPONSE | HALLMARK_UNFOLDED_PROTEIN_RESPONSE | 35/232 | 113/4386 | 8.898574e-19 | 4.182330e-17 | 3.278422e-17 | HSPA5/HERPUD1/DDX10/SERP1/HSP90B1/ASNS/CEBPG/DNAJB9/PDIA6/HYOU1/MTHFD2/ATF4/DDIT4/DNAJC3/EIF2AK3/HSPA9/SRPRB/FKBP14/PDIA5/CALR/PSAT1/SSR1/EXOSC1/CKS1B/TSPYL2/SLC1A4/IARS/CHAC1/EIF4EBP1/VEGFA/SEC31A/ATF3/WIPI1/CEBPB/XPOT                                             | 35 |\n",
       "| HALLMARK_MTORC1_SIGNALING | HALLMARK_MTORC1_SIGNALING          | HALLMARK_MTORC1_SIGNALING          | 43/232 | 200/4386 | 2.677399e-16 | 6.291888e-15 | 4.932051e-15 | NUPR1/HSPA5/DDIT3/PHGDH/SDF2L1/SERP1/HSP90B1/TRIB3/ASNS/SQSTM1/GOT1/SQLE/TCEA1/CANX/HMGCR/MTHFD2/TUBA4A/FAM129A/DDIT4/HSPA9/SHMT2/CALR/HMGCS1/EPRS/PSAT1/SSR1/FKBP2/IDI1/IFRD1/SLC1A4/USO1/EIF2S2/PPP1R15A/UFM1/LDLR/SLC7A11/EBP/INSIG1/RPN1/DHCR7/HSPD1/BHLHE40/TXNRD1 | 43 |\n",
       "| HALLMARK_CHOLESTEROL_HOMEOSTASIS | HALLMARK_CHOLESTEROL_HOMEOSTASIS   | HALLMARK_CHOLESTEROL_HOMEOSTASIS   | 18/232 | 74/4386  | 2.793102e-08 | 4.375860e-07 | 3.430125e-07 | TRIB3/STX5/SQLE/HMGCR/FAM129A/MVD/HMGCS1/HSD17B7/IDI1/FDPS/SREBF2/ECH1/PNRC1/ATF3/LDLR/TNFRSF12A/EBP/DHCR7                                                                                                                                                              | 18 |\n",
       "| HALLMARK_PROTEIN_SECRETION | HALLMARK_PROTEIN_SECRETION         | HALLMARK_PROTEIN_SECRETION         | 18/232 | 96/4386  | 1.840627e-06 | 2.162737e-05 | 1.695315e-05 | ARFGAP3/LMAN1/COPE/ARCN1/RAB9A/SEC24D/GOLGA4/RAB5A/BET1/ARF1/USO1/TPD52/SEC31A/TMED10/ICA1/COPB2/DST/NAPA                                                                                                                                                               | 18 |\n",
       "| HALLMARK_TNFA_SIGNALING_VIA_NFKB | HALLMARK_TNFA_SIGNALING_VIA_NFKB   | HALLMARK_TNFA_SIGNALING_VIA_NFKB   | 26/232 | 200/4386 | 1.349707e-05 | 1.268724e-04 | 9.945207e-05 | SQSTM1/EIF1/GEM/RIPK2/BTG1/CD44/HBEGF/GADD45A/VEGFA/PPP1R15A/JUN/PNRC1/TNFAIP8/REL/IRF1/ATF3/LDLR/CEBPB/TRIB1/TSC22D1/NFKBIA/DUSP1/LITAF/BHLHE40/KLF6/GADD45B                                                                                                           | 26 |\n",
       "| HALLMARK_ANDROGEN_RESPONSE | HALLMARK_ANDROGEN_RESPONSE         | HALLMARK_ANDROGEN_RESPONSE         | 17/232 | 101/4386 | 1.638811e-05 | 1.283735e-04 | 1.006287e-04 | LMAN1/DNAJB9/PGM3/HMGCR/HMGCS1/SEC24D/HOMER2/IDI1/TPD52/SLC38A2/TNFAIP8/SRP19/H1F0/TSC22D1/INSIG1/GNAI3/ITGAV                                                                                                                                                           | 17 |\n",
       "\n"
      ],
      "text/plain": [
       "                                   ID                                \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE HALLMARK_UNFOLDED_PROTEIN_RESPONSE\n",
       "HALLMARK_MTORC1_SIGNALING          HALLMARK_MTORC1_SIGNALING         \n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   HALLMARK_CHOLESTEROL_HOMEOSTASIS  \n",
       "HALLMARK_PROTEIN_SECRETION         HALLMARK_PROTEIN_SECRETION        \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   HALLMARK_TNFA_SIGNALING_VIA_NFKB  \n",
       "HALLMARK_ANDROGEN_RESPONSE         HALLMARK_ANDROGEN_RESPONSE        \n",
       "                                   Description                        GeneRatio\n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE HALLMARK_UNFOLDED_PROTEIN_RESPONSE 35/232   \n",
       "HALLMARK_MTORC1_SIGNALING          HALLMARK_MTORC1_SIGNALING          43/232   \n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   HALLMARK_CHOLESTEROL_HOMEOSTASIS   18/232   \n",
       "HALLMARK_PROTEIN_SECRETION         HALLMARK_PROTEIN_SECRETION         18/232   \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   HALLMARK_TNFA_SIGNALING_VIA_NFKB   26/232   \n",
       "HALLMARK_ANDROGEN_RESPONSE         HALLMARK_ANDROGEN_RESPONSE         17/232   \n",
       "                                   BgRatio  pvalue       p.adjust    \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE 113/4386 8.898574e-19 4.182330e-17\n",
       "HALLMARK_MTORC1_SIGNALING          200/4386 2.677399e-16 6.291888e-15\n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   74/4386  2.793102e-08 4.375860e-07\n",
       "HALLMARK_PROTEIN_SECRETION         96/4386  1.840627e-06 2.162737e-05\n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   200/4386 1.349707e-05 1.268724e-04\n",
       "HALLMARK_ANDROGEN_RESPONSE         101/4386 1.638811e-05 1.283735e-04\n",
       "                                   qvalue      \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE 3.278422e-17\n",
       "HALLMARK_MTORC1_SIGNALING          4.932051e-15\n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   3.430125e-07\n",
       "HALLMARK_PROTEIN_SECRETION         1.695315e-05\n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   9.945207e-05\n",
       "HALLMARK_ANDROGEN_RESPONSE         1.006287e-04\n",
       "                                   geneID                                                                                                                                                                                                                                                                 \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE HSPA5/HERPUD1/DDX10/SERP1/HSP90B1/ASNS/CEBPG/DNAJB9/PDIA6/HYOU1/MTHFD2/ATF4/DDIT4/DNAJC3/EIF2AK3/HSPA9/SRPRB/FKBP14/PDIA5/CALR/PSAT1/SSR1/EXOSC1/CKS1B/TSPYL2/SLC1A4/IARS/CHAC1/EIF4EBP1/VEGFA/SEC31A/ATF3/WIPI1/CEBPB/XPOT                                            \n",
       "HALLMARK_MTORC1_SIGNALING          NUPR1/HSPA5/DDIT3/PHGDH/SDF2L1/SERP1/HSP90B1/TRIB3/ASNS/SQSTM1/GOT1/SQLE/TCEA1/CANX/HMGCR/MTHFD2/TUBA4A/FAM129A/DDIT4/HSPA9/SHMT2/CALR/HMGCS1/EPRS/PSAT1/SSR1/FKBP2/IDI1/IFRD1/SLC1A4/USO1/EIF2S2/PPP1R15A/UFM1/LDLR/SLC7A11/EBP/INSIG1/RPN1/DHCR7/HSPD1/BHLHE40/TXNRD1\n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   TRIB3/STX5/SQLE/HMGCR/FAM129A/MVD/HMGCS1/HSD17B7/IDI1/FDPS/SREBF2/ECH1/PNRC1/ATF3/LDLR/TNFRSF12A/EBP/DHCR7                                                                                                                                                             \n",
       "HALLMARK_PROTEIN_SECRETION         ARFGAP3/LMAN1/COPE/ARCN1/RAB9A/SEC24D/GOLGA4/RAB5A/BET1/ARF1/USO1/TPD52/SEC31A/TMED10/ICA1/COPB2/DST/NAPA                                                                                                                                                              \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   SQSTM1/EIF1/GEM/RIPK2/BTG1/CD44/HBEGF/GADD45A/VEGFA/PPP1R15A/JUN/PNRC1/TNFAIP8/REL/IRF1/ATF3/LDLR/CEBPB/TRIB1/TSC22D1/NFKBIA/DUSP1/LITAF/BHLHE40/KLF6/GADD45B                                                                                                          \n",
       "HALLMARK_ANDROGEN_RESPONSE         LMAN1/DNAJB9/PGM3/HMGCR/HMGCS1/SEC24D/HOMER2/IDI1/TPD52/SLC38A2/TNFAIP8/SRP19/H1F0/TSC22D1/INSIG1/GNAI3/ITGAV                                                                                                                                                          \n",
       "                                   Count\n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE 35   \n",
       "HALLMARK_MTORC1_SIGNALING          43   \n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   18   \n",
       "HALLMARK_PROTEIN_SECRETION         18   \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   26   \n",
       "HALLMARK_ANDROGEN_RESPONSE         17   "
      ]
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       "<ol class=list-inline><li>9</li><li>9</li></ol>\n"
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       "\\begin{enumerate*}\n",
       "\\item 9\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
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       "1. 9\n",
       "2. 9\n",
       "\n",
       "\n"
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       "[1] 9 9"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954  </td><td>UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954  </td><td>58/610</td><td>430/19993</td><td>1.112977e-21</td><td>4.028976e-19</td><td>3.116335e-19</td><td>ARFGAP3/SERP1/HSP90B1/DNAJB9/KDELR2/MTHFD2/GFPT1/HSPA13/RSL24D1/EIF2AK3/CCPG1/ARCN1/RAB9A/JMJD1C/SCFD1/SEC61G/TMED5/TMEM258/SEC24D/ARL1/INSIG2/MPC1/BCAS2/IDI1/BET1/EXOSC8/MCFD2/TMEM39A/NRBF2/EMC2/SDHD/USO1/SLK/CYCS/LRIF1/PRELID3B/PPP1R2/UFM1/SRP54/USP16/FAM3C/SRP19/ACBD3/ABHD5/MAP1LC3B/COPB2/ALG5/ARL8B/EIF5/CSGALNACT2/GOLT1B/CALCOCO2/PTS/XPOT/GNAI3/MAPK6/ITGAV/TXNRD1</td><td>58</td></tr>\n",
       "\t<tr><th scope=row>Duke_Module07_glucosedepletion_Mike_PMID.20335537</th><td>Duke_Module07_glucosedepletion_Mike_PMID.20335537 </td><td>Duke_Module07_glucosedepletion_Mike_PMID.20335537 </td><td>17/610</td><td>27/19993 </td><td>8.782147e-20</td><td>1.589569e-17</td><td>1.229501e-17</td><td>SLC3A2/HERPUD1/SDF2L1/DNAJB9/HYOU1/DDIT4/CLIC4/YARS/EPRS/SEL1L/IFRD1/HBP1/SLC38A2/SEC63/MAP1LC3B/CARS/CALU                                                                                                                                                                                                                                                                       </td><td>17</td></tr>\n",
       "\t<tr><th scope=row>GSEA_HDAC_TARGETS_DN_HELLER</th><td>GSEA_HDAC_TARGETS_DN_HELLER                       </td><td>GSEA_HDAC_TARGETS_DN_HELLER                       </td><td>39/610</td><td>290/19993</td><td>6.863291e-15</td><td>8.281704e-13</td><td>6.405738e-13</td><td>SLC3A2/HSPA5/HERPUD1/DDIT3/SERP1/TRIB3/PDIA3/CEBPG/CRELD2/DNAJB9/HMOX1/ATF4/TMPRSS3/HSPA9/SHMT2/TMED1/CCPG1/TIMM44/CD44/CALR/SEC24D/PSAT1/SLC1A4/CHAC1/GADD45A/PPP1R15A/BCL2/DCPS/KLHL21/CLK1/ATF3/CEBPB/SLC7A11/EIF5/OSBPL1A/SLC38A1/DDX17/ISG20/HSPD1                                                                                                                          </td><td>39</td></tr>\n",
       "\t<tr><th scope=row>UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954</td><td>UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954</td><td>14/610</td><td>29/19993 </td><td>2.659622e-14</td><td>2.406958e-12</td><td>1.861736e-12</td><td>PDIA3/PPIB/TMED9/KDELR2/SLC39A7/SRPRB/PDIA5/SEC61A1/CKAP4/SEC13/GORASP2/RABAC1/COPB2/RPN1                                                                                                                                                                                                                                                                                        </td><td>14</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  </td><td>UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  </td><td>36/610</td><td>335/19993</td><td>6.043711e-11</td><td>4.375646e-09</td><td>3.384478e-09</td><td>PDIA3/LMAN1/PPIB/JUND/PGM3/CANX/SRPRA/PJA2/ARF4/CLIC4/RAB9A/CDV3/TMCO3/TRAM1/P4HB/SSR1/RAB5A/EHF/ARF1/DNAJC10/CREBZF/PSAP/NEU1/GCLM/PPP1R2/YIPF5/CDYL/MAP1LC3B/TRIM27/KDELR1/TKT/STX3/CALU/GNAI3/PTP4A1/KLF6                                                                                                                                                                     </td><td>36</td></tr>\n",
       "\t<tr><th scope=row>Duke_Module05_egfr_Mike_PMID.20335537</th><td>Duke_Module05_egfr_Mike_PMID.20335537             </td><td>Duke_Module05_egfr_Mike_PMID.20335537             </td><td>32/610</td><td>281/19993</td><td>1.616775e-10</td><td>9.754545e-09</td><td>7.544952e-09</td><td>SQLE/ATXN1/HMGCR/DDIT4/BNIP3L/BTG1/ARHGAP29/CD44/INSIG2/GOLGA2/EHF/LRRFIP2/INTS6/GADD45A/VEGFA/SEC31A/SLC38A2/LDLR/DUSP10/ACBD3/CEBPB/CDYL/TRIB1/ARL8B/DST/TSC22D1/STX3/NFKBIA/MAPK6/ISG20/BHLHE40/KLF6                                                                                                                                                                          </td><td>32</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tUNC\\_HS\\_Red22\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Red22\\_BMC.Med.Genomics.2011\\_PMID.21214954   & UNC\\_HS\\_Red22\\_BMC.Med.Genomics.2011\\_PMID.21214954   & 58/610 & 430/19993 & 1.112977e-21 & 4.028976e-19 & 3.116335e-19 & ARFGAP3/SERP1/HSP90B1/DNAJB9/KDELR2/MTHFD2/GFPT1/HSPA13/RSL24D1/EIF2AK3/CCPG1/ARCN1/RAB9A/JMJD1C/SCFD1/SEC61G/TMED5/TMEM258/SEC24D/ARL1/INSIG2/MPC1/BCAS2/IDI1/BET1/EXOSC8/MCFD2/TMEM39A/NRBF2/EMC2/SDHD/USO1/SLK/CYCS/LRIF1/PRELID3B/PPP1R2/UFM1/SRP54/USP16/FAM3C/SRP19/ACBD3/ABHD5/MAP1LC3B/COPB2/ALG5/ARL8B/EIF5/CSGALNACT2/GOLT1B/CALCOCO2/PTS/XPOT/GNAI3/MAPK6/ITGAV/TXNRD1 & 58\\\\\n",
       "\tDuke\\_Module07\\_glucosedepletion\\_Mike\\_PMID.20335537 & Duke\\_Module07\\_glucosedepletion\\_Mike\\_PMID.20335537  & Duke\\_Module07\\_glucosedepletion\\_Mike\\_PMID.20335537  & 17/610 & 27/19993  & 8.782147e-20 & 1.589569e-17 & 1.229501e-17 & SLC3A2/HERPUD1/SDF2L1/DNAJB9/HYOU1/DDIT4/CLIC4/YARS/EPRS/SEL1L/IFRD1/HBP1/SLC38A2/SEC63/MAP1LC3B/CARS/CALU                                                                                                                                                                                                                                                                        & 17\\\\\n",
       "\tGSEA\\_HDAC\\_TARGETS\\_DN\\_HELLER & GSEA\\_HDAC\\_TARGETS\\_DN\\_HELLER                        & GSEA\\_HDAC\\_TARGETS\\_DN\\_HELLER                        & 39/610 & 290/19993 & 6.863291e-15 & 8.281704e-13 & 6.405738e-13 & SLC3A2/HSPA5/HERPUD1/DDIT3/SERP1/TRIB3/PDIA3/CEBPG/CRELD2/DNAJB9/HMOX1/ATF4/TMPRSS3/HSPA9/SHMT2/TMED1/CCPG1/TIMM44/CD44/CALR/SEC24D/PSAT1/SLC1A4/CHAC1/GADD45A/PPP1R15A/BCL2/DCPS/KLHL21/CLK1/ATF3/CEBPB/SLC7A11/EIF5/OSBPL1A/SLC38A1/DDX17/ISG20/HSPD1                                                                                                                           & 39\\\\\n",
       "\tUNC\\_Unknown\\_10\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_Unknown\\_10\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_Unknown\\_10\\_BMC.Med.Genomics.2011\\_PMID.21214954 & 14/610 & 29/19993  & 2.659622e-14 & 2.406958e-12 & 1.861736e-12 & PDIA3/PPIB/TMED9/KDELR2/SLC39A7/SRPRB/PDIA5/SEC61A1/CKAP4/SEC13/GORASP2/RABAC1/COPB2/RPN1                                                                                                                                                                                                                                                                                         & 14\\\\\n",
       "\tUNC\\_HS\\_Red17\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Red17\\_BMC.Med.Genomics.2011\\_PMID.21214954   & UNC\\_HS\\_Red17\\_BMC.Med.Genomics.2011\\_PMID.21214954   & 36/610 & 335/19993 & 6.043711e-11 & 4.375646e-09 & 3.384478e-09 & PDIA3/LMAN1/PPIB/JUND/PGM3/CANX/SRPRA/PJA2/ARF4/CLIC4/RAB9A/CDV3/TMCO3/TRAM1/P4HB/SSR1/RAB5A/EHF/ARF1/DNAJC10/CREBZF/PSAP/NEU1/GCLM/PPP1R2/YIPF5/CDYL/MAP1LC3B/TRIM27/KDELR1/TKT/STX3/CALU/GNAI3/PTP4A1/KLF6                                                                                                                                                                      & 36\\\\\n",
       "\tDuke\\_Module05\\_egfr\\_Mike\\_PMID.20335537 & Duke\\_Module05\\_egfr\\_Mike\\_PMID.20335537              & Duke\\_Module05\\_egfr\\_Mike\\_PMID.20335537              & 32/610 & 281/19993 & 1.616775e-10 & 9.754545e-09 & 7.544952e-09 & SQLE/ATXN1/HMGCR/DDIT4/BNIP3L/BTG1/ARHGAP29/CD44/INSIG2/GOLGA2/EHF/LRRFIP2/INTS6/GADD45A/VEGFA/SEC31A/SLC38A2/LDLR/DUSP10/ACBD3/CEBPB/CDYL/TRIB1/ARL8B/DST/TSC22D1/STX3/NFKBIA/MAPK6/ISG20/BHLHE40/KLF6                                                                                                                                                                           & 32\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   | UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   | 58/610 | 430/19993 | 1.112977e-21 | 4.028976e-19 | 3.116335e-19 | ARFGAP3/SERP1/HSP90B1/DNAJB9/KDELR2/MTHFD2/GFPT1/HSPA13/RSL24D1/EIF2AK3/CCPG1/ARCN1/RAB9A/JMJD1C/SCFD1/SEC61G/TMED5/TMEM258/SEC24D/ARL1/INSIG2/MPC1/BCAS2/IDI1/BET1/EXOSC8/MCFD2/TMEM39A/NRBF2/EMC2/SDHD/USO1/SLK/CYCS/LRIF1/PRELID3B/PPP1R2/UFM1/SRP54/USP16/FAM3C/SRP19/ACBD3/ABHD5/MAP1LC3B/COPB2/ALG5/ARL8B/EIF5/CSGALNACT2/GOLT1B/CALCOCO2/PTS/XPOT/GNAI3/MAPK6/ITGAV/TXNRD1 | 58 |\n",
       "| Duke_Module07_glucosedepletion_Mike_PMID.20335537 | Duke_Module07_glucosedepletion_Mike_PMID.20335537  | Duke_Module07_glucosedepletion_Mike_PMID.20335537  | 17/610 | 27/19993  | 8.782147e-20 | 1.589569e-17 | 1.229501e-17 | SLC3A2/HERPUD1/SDF2L1/DNAJB9/HYOU1/DDIT4/CLIC4/YARS/EPRS/SEL1L/IFRD1/HBP1/SLC38A2/SEC63/MAP1LC3B/CARS/CALU                                                                                                                                                                                                                                                                        | 17 |\n",
       "| GSEA_HDAC_TARGETS_DN_HELLER | GSEA_HDAC_TARGETS_DN_HELLER                        | GSEA_HDAC_TARGETS_DN_HELLER                        | 39/610 | 290/19993 | 6.863291e-15 | 8.281704e-13 | 6.405738e-13 | SLC3A2/HSPA5/HERPUD1/DDIT3/SERP1/TRIB3/PDIA3/CEBPG/CRELD2/DNAJB9/HMOX1/ATF4/TMPRSS3/HSPA9/SHMT2/TMED1/CCPG1/TIMM44/CD44/CALR/SEC24D/PSAT1/SLC1A4/CHAC1/GADD45A/PPP1R15A/BCL2/DCPS/KLHL21/CLK1/ATF3/CEBPB/SLC7A11/EIF5/OSBPL1A/SLC38A1/DDX17/ISG20/HSPD1                                                                                                                           | 39 |\n",
       "| UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 | UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 | UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 | 14/610 | 29/19993  | 2.659622e-14 | 2.406958e-12 | 1.861736e-12 | PDIA3/PPIB/TMED9/KDELR2/SLC39A7/SRPRB/PDIA5/SEC61A1/CKAP4/SEC13/GORASP2/RABAC1/COPB2/RPN1                                                                                                                                                                                                                                                                                         | 14 |\n",
       "| UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   | UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   | 36/610 | 335/19993 | 6.043711e-11 | 4.375646e-09 | 3.384478e-09 | PDIA3/LMAN1/PPIB/JUND/PGM3/CANX/SRPRA/PJA2/ARF4/CLIC4/RAB9A/CDV3/TMCO3/TRAM1/P4HB/SSR1/RAB5A/EHF/ARF1/DNAJC10/CREBZF/PSAP/NEU1/GCLM/PPP1R2/YIPF5/CDYL/MAP1LC3B/TRIM27/KDELR1/TKT/STX3/CALU/GNAI3/PTP4A1/KLF6                                                                                                                                                                      | 36 |\n",
       "| Duke_Module05_egfr_Mike_PMID.20335537 | Duke_Module05_egfr_Mike_PMID.20335537              | Duke_Module05_egfr_Mike_PMID.20335537              | 32/610 | 281/19993 | 1.616775e-10 | 9.754545e-09 | 7.544952e-09 | SQLE/ATXN1/HMGCR/DDIT4/BNIP3L/BTG1/ARHGAP29/CD44/INSIG2/GOLGA2/EHF/LRRFIP2/INTS6/GADD45A/VEGFA/SEC31A/SLC38A2/LDLR/DUSP10/ACBD3/CEBPB/CDYL/TRIB1/ARL8B/DST/TSC22D1/STX3/NFKBIA/MAPK6/ISG20/BHLHE40/KLF6                                                                                                                                                                           | 32 |\n",
       "\n"
      ],
      "text/plain": [
       "                                                   ID                                                \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  Duke_Module07_glucosedepletion_Mike_PMID.20335537 \n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        GSEA_HDAC_TARGETS_DN_HELLER                       \n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "Duke_Module05_egfr_Mike_PMID.20335537              Duke_Module05_egfr_Mike_PMID.20335537             \n",
       "                                                   Description                                       \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  Duke_Module07_glucosedepletion_Mike_PMID.20335537 \n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        GSEA_HDAC_TARGETS_DN_HELLER                       \n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "Duke_Module05_egfr_Mike_PMID.20335537              Duke_Module05_egfr_Mike_PMID.20335537             \n",
       "                                                   GeneRatio BgRatio  \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   58/610    430/19993\n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  17/610    27/19993 \n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        39/610    290/19993\n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 14/610    29/19993 \n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   36/610    335/19993\n",
       "Duke_Module05_egfr_Mike_PMID.20335537              32/610    281/19993\n",
       "                                                   pvalue       p.adjust    \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   1.112977e-21 4.028976e-19\n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  8.782147e-20 1.589569e-17\n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        6.863291e-15 8.281704e-13\n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 2.659622e-14 2.406958e-12\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   6.043711e-11 4.375646e-09\n",
       "Duke_Module05_egfr_Mike_PMID.20335537              1.616775e-10 9.754545e-09\n",
       "                                                   qvalue      \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   3.116335e-19\n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  1.229501e-17\n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        6.405738e-13\n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 1.861736e-12\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   3.384478e-09\n",
       "Duke_Module05_egfr_Mike_PMID.20335537              7.544952e-09\n",
       "                                                   geneID                                                                                                                                                                                                                                                                                                                                                                           \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   ARFGAP3/SERP1/HSP90B1/DNAJB9/KDELR2/MTHFD2/GFPT1/HSPA13/RSL24D1/EIF2AK3/CCPG1/ARCN1/RAB9A/JMJD1C/SCFD1/SEC61G/TMED5/TMEM258/SEC24D/ARL1/INSIG2/MPC1/BCAS2/IDI1/BET1/EXOSC8/MCFD2/TMEM39A/NRBF2/EMC2/SDHD/USO1/SLK/CYCS/LRIF1/PRELID3B/PPP1R2/UFM1/SRP54/USP16/FAM3C/SRP19/ACBD3/ABHD5/MAP1LC3B/COPB2/ALG5/ARL8B/EIF5/CSGALNACT2/GOLT1B/CALCOCO2/PTS/XPOT/GNAI3/MAPK6/ITGAV/TXNRD1\n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  SLC3A2/HERPUD1/SDF2L1/DNAJB9/HYOU1/DDIT4/CLIC4/YARS/EPRS/SEL1L/IFRD1/HBP1/SLC38A2/SEC63/MAP1LC3B/CARS/CALU                                                                                                                                                                                                                                                                       \n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        SLC3A2/HSPA5/HERPUD1/DDIT3/SERP1/TRIB3/PDIA3/CEBPG/CRELD2/DNAJB9/HMOX1/ATF4/TMPRSS3/HSPA9/SHMT2/TMED1/CCPG1/TIMM44/CD44/CALR/SEC24D/PSAT1/SLC1A4/CHAC1/GADD45A/PPP1R15A/BCL2/DCPS/KLHL21/CLK1/ATF3/CEBPB/SLC7A11/EIF5/OSBPL1A/SLC38A1/DDX17/ISG20/HSPD1                                                                                                                          \n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 PDIA3/PPIB/TMED9/KDELR2/SLC39A7/SRPRB/PDIA5/SEC61A1/CKAP4/SEC13/GORASP2/RABAC1/COPB2/RPN1                                                                                                                                                                                                                                                                                        \n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   PDIA3/LMAN1/PPIB/JUND/PGM3/CANX/SRPRA/PJA2/ARF4/CLIC4/RAB9A/CDV3/TMCO3/TRAM1/P4HB/SSR1/RAB5A/EHF/ARF1/DNAJC10/CREBZF/PSAP/NEU1/GCLM/PPP1R2/YIPF5/CDYL/MAP1LC3B/TRIM27/KDELR1/TKT/STX3/CALU/GNAI3/PTP4A1/KLF6                                                                                                                                                                     \n",
       "Duke_Module05_egfr_Mike_PMID.20335537              SQLE/ATXN1/HMGCR/DDIT4/BNIP3L/BTG1/ARHGAP29/CD44/INSIG2/GOLGA2/EHF/LRRFIP2/INTS6/GADD45A/VEGFA/SEC31A/SLC38A2/LDLR/DUSP10/ACBD3/CEBPB/CDYL/TRIB1/ARL8B/DST/TSC22D1/STX3/NFKBIA/MAPK6/ISG20/BHLHE40/KLF6                                                                                                                                                                          \n",
       "                                                   Count\n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   58   \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  17   \n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        39   \n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 14   \n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   36   \n",
       "Duke_Module05_egfr_Mike_PMID.20335537              32   "
      ]
     },
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     "output_type": "display_data"
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       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
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       "</style>\n",
       "<ol class=list-inline><li>65</li><li>9</li></ol>\n"
      ],
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       "\\begin{enumerate*}\n",
       "\\item 65\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
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       "1. 65\n",
       "2. 9\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 65  9"
      ]
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      "text/html": [
       "filename_xlsx: xlsx/er+bc-pairs_cluster2_vs_cluster3_Tumor_cells.xlsx\n"
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       "filename_figure: heatmap_er+bc-pairs_cluster2_vs_cluster3_Tumor_cells_zscore\n"
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9Hjxylk998mtye+vMO3YDElcnUXpQvTfCbFPy3hVxW9PLdqyITYYsNBm/7qp/rl\n3RFCqDZNLqCB7BnyW3sSMPqHjDH7dr0eD6QSn6AMP/b/zdTW0849PD7P6dVfPS01tVp2DNon\n6ff3xQcHA03/o18RCKEmqMGLfhWOb3SVPLpGi8XM+9KZNYuGJNSxEhoAAAbsl8j317//2ilZ\n9F+wu/+CelQihFC9NL0zaIQQaiIwoBFCSEFhQCOEkILCgEYIIQWFAY0QQgoKAxohhBQUBjRC\nCCkoQv65BcLou3DQsa9/8fPSFAcdu+83mc8YP5cTs5IJAIu3VCydqv754vrM8wcei0L5yvfh\nv3kbW7qysu5rfdp+LzujqzfD0pLaN+mfFdwVz0tTRo4wvHSJXVQiAIC3E5NovXn1uvzGDf1O\nnYretrydc9+xnFM7meYdWJn3tF5XvKwop7maWbzvWc2yJOluqYOO3aLwimW/qbv4lsfFv3m7\n+8FrJZv7DLrBu/G8NEUsJjsZ2gDA7fQsdXV+R323C2lP3M3Nn5emyOXgqGsHAMfuFFlbs1z0\n2glkgrejM1TJjg6alRm6AHDjdc7FC+rLflNv2YF1+kyRnopOMa/ke7+fjYNn0AghpKAwoBFC\nSEFhQCOEkILCgEYIIQWFAY0QQgoKAxohhBQUBjRCCCkoDGiEEFJQTTegz01gfPwEFDJNVcvU\n0XvE7Oi7pbKPKwfESz7qoeLWPFc1gtDxWfeI/7alPNqHIAiTaUl1j0KmqWgZ27r3nbjq+Gve\n9z9KhFAT1nQD+i3/3WL5O9KqgpTrkUEtkyOCPJyG7Mv97I4Vdxb07L3yAb3nhssnp7f7wrNn\nP4wi45dm3Tu0xLMiYe4AZ5/VTz8OfYQQqremHtDVkZR1WrTuHRZ7alUXav7RkMVnxHVVcpIW\n+fr+dY/uu/nK8bC2DXkyOEFj6ll5jFib8KcXcO+s3Hj1G8wbIdRMNaeAfsest68dQFli4vNa\nN1feW+Lb68+7dL8tV4/91preuDH0rawYAJyyMtFXTBQh1Lz9/A+NbQSpVAoAFEotB191/8/e\nPZcmqfTbdiVhoh2tsSPIXz34twrILu6uje4CIdTsNccz6Kxz518BGPn4fPyFYFUP/+rdc9Ft\nlQFR1w43Np2lAlb6tcjxw1Y90+u2enuo5ddPFyHUXDWnM2i5kJ2f/vDEmhkLEsFqfOTiLuTq\nW7n/rvQLXXSzHJQt27YxoTao5+OBVCKweoOK9cAVMasnuqh8g2kjhJqrpkhCU4EAACAASURB\nVH4GfTyQ+n4FHElZz8ZzbERm69D4+w+i/XRrVl5av/h5q+l/BdlLHy7tO2xXhrQBo1RbKyIT\nlhek3tn5KxEz2MGh99oHuNQOIdRYTf0M2n+3+Nioeh2k9dhTVyL7mJBCTIrdfj0+sfdUo9vb\nemo3eECCpm5o5T50/qF2NC+72bN+Wdbp5aoOTf3XIELou8DoeMe+W08TCgCp5ei9xxe4kF9v\nH9J/xRNBo7sjWfftbQvy1DPn0r7hJBFCzQkG9KdU3JedjBthWnV7fp+R8bmyL+9QOzqdDgBC\nofAbTg0h1JxgQNeGMAzYeWqFp1rBkXG9p18pb0wX8oxjJ54BGHbvjs/gQwg1DgZ0HZTazDl2\nYJyl7PnGQQPXJzfg4yZSPjs/+Vz4WP/5N0k2QdFLuzX1y/wIoe8FA7puOr23nd7UXbPi2oze\nYxPyP/fw8+prRWia5u37z9xb0eOfs88fRvbR/cxuCCH0OU339M43ukoe/ZWVVNspl1hTPrzW\nmHBJPqGRoyCEUAPhGTRCCCkoDGiEEFJQGNAIIaSgMKARQkhBYUAjhJCCwoBGCCEFhQGNEEIK\nipDLP/cJDPQ9WGpZ/OgpINRILdpUFeSLJWWaEXsFU3758Eg4PevKHTuhr5fa+5b7acWuVnrp\nrExLLfO3Le//vmidaNl02tuW1o5az5JZH9XMXC5as4D2vv7C/YrSEuovfT58wXo6KxMAqu91\nOMFo9kQlAOgfKDyxWwkASECSgSydlTk60DD/UqssYdbb4rBFoo3LPjyQo1M/wa7Ygm/8Nn0j\neAaNEEIKCgMaIYQUFAY0QggpKAxohBBSUBjQCCGkoDCgEUJIQWFAI4SQgsKARgghBdU8Avrc\nBAZBEATRZtnz2gvEl4P0CYIgCK8NhZ/sVacB8ZKavWQem+GuRSIIp1X4KG+E0FdrHgH9zrPo\nyDu1PaWbeyL6QHEd+/jvFsvrcGzUhwfSCNMPhXi0CzxdroKfzEQIfRvNKKBJJBLk7o48K/hk\nC2t/9NFKIJEa/2Y8WenhPPaqY/j9GzMdv2aOCCH0QTMKaGdPT2VgH4w8VPHRhpy4qAtCsHVx\nUW1030Vip/X37u0c1Ur56+aIEEIfNKOApvYc1FcVeKcj42t+L0ryjpi7MmgzcqAlv9F991wU\nM85e5ct1CCFUf80ooMXUXhNHGYL0ZmRMyodW2Z2oHclA8Zo41kYiqXtnhBD6zzWjgJbLqT6h\nkx0AnsZE3n13q1B4Pjo+F5gDQ0ab1PG9q8cDqbWv4fCJLv/vJo8QaoaaUUADANgHh/ZQguy4\nyPNCAACoPBJ9kAXGY0IGqdW1S52rOC5N0PjP5o0Qao6aWUCDbmDYCC1gHYhM4ABA8b6ok1WE\nU/DUTpQv7okQQv+x5hbQoNwnLMgauKei9xVC+q7oa2Il35CJNj96Vggh9KlmF9BAOE0N6UyR\nJCYcT9wdd1+uPSxkhN6PnhNCCNWi+QU0gOnYsIFMWeK2sIPPwWpCiC+uXUYIKaTmGNDA8A8b\nZyZ6/DiF7P7b5PbEj54OQgjVqlkGNJA9Q35rTwJG/5AxZl+qrXOZHUEQ7hvyAABKt/m8a1EL\nOg8AT+Za//81ZXjCdz8ahFAT1TxWL/hGV8mja7RYzLwvnVmzaEjCRyuhP92rDjrBl+TBXzdD\nhBD6RPM8g0YIoZ8ABjRCCCkoDGiEEFJQGNAIIaSgMKARQkhBYUAjhJCCwoBGCCEFhQH9A2hZ\ncPow+nQbJLCl20rVSukkulAitPfgMcgMZxVn7/4CbQuOrlWlW0++NkVb37by0EXu8euVOpac\noWpDew0T+gwWalG0KkkFoF7mM1jo3I3/+xKRvbI9AYRdR96CNaLV24W2Hbimrau6M7qz5fma\n5hzQYP0aKmqn0k7DjFMB+QPHCMukeZbO3CphFWiwSsS5xZXF05aIZHKZR2+B30ihZkuOV19B\nJjtLx6rSyZtPJahUHfbYaaJRv4kEYr5AqYgn4k2ZJ1I1qnjDedNZtdPsv0S/LxGpmVZ4+Qko\nOmyXbnwDqv7vS0S/TBa5qriqGlfklOcOHCN8JHpMBvLg8SJVo4rWXrzRoSKnLvzpy0S+w4Uj\nJotYsrzhwaLCykJdq0pNc87sFSK+mM+nFU6cLeo6UNBnhNCabtWmE2/2CpGZktmMZaL23flm\nbavEqiWgUcYVchcyF85bLSqX5zt58ykEuaOvoNcwoYxZ1sqNN5o52kXFpU1nngHVwNtfQNJk\njZ8hGqDm/8dKkUS15A0/p1NfQQ4nS7Mlx6kLny3Ls/fg/RomYraoIGuxDKgGQcwgHUvOmGki\nA9tKbQuOrnUl07QC1MtaufPM2lTxxXw968qOvQWWzlwDqr5LN/6uYzwvVa+IvQJmiwqP3gKp\nXLo8XJjPy/41TLQmWkgn0dXIjJFTRM7d+GXcsoAJImWScis3Xuf+AoZJRRm3bOAYoYYZR9mw\nvK03P7M8k6bL1jDjlPPKlfTKAWBtjJBpWpHDyaqA/I6+girym4mzRUzTig49+VbtuZotOSwu\nK2ShqKOvwKIdV8+6kkctdOnG9/QTUAkqg6yq2ZIjk8sKeNltvflFwpwgZhBXxA2YIKIRNJ6I\nV1pVWlpVmlmeqWXOITRYgSEiAMguz9Gj6o1ljk1nZ4QyQ69eL47lnRFKBGnB89LZGf0Dhf3U\n+omUizsVjrnRZzmolw1XGxYwQbSAuUBHm5fOzrDVtk5nZ3iqeqSzMxa3XKBP1U9nZzAXb0pn\nZ7iruvsZ9TZmudhp26azM7oyuvoyfIGQp7MzJk/N+5U52pChn87O6KjacUe3SaeHB/Vg9Ehn\nZ7z9A4QcCPkU5pRhasPS2RntdNto/x6vS9WpIArWb8oXSgTp7IzOjM5Vwiog5HHxBQOUBqSz\nM6Ywp6SzM+JW6KezMyYygzqodEhnZ7S6HvKjI6FOGNAIIaSgMKARQkhBYUAjhJCCwoBGCCEF\nhQGNEEIKCgMaIYQUFAY0QggpKAxohBBSUAoc0OcmMAiCGBAvqW1j8hJHgiDc12RVa6tKvRA5\nP9DH2dZMX51OpSkz9czbdR8+e9uNN9W7eNttDWSaqpapo/eI2dF3S2W1zkV4YaIeQRCEyoB4\nVi2bz45XrfWJK4wx5xp9+AihZk+BA7phWGendmjda+o+jvf8uGsvCiu5rOyn5zaO0H26ebK3\nU//tadKa5f67xfJ3pFUFKdcjg1omRwR5OA3Zl/tp5+UHwveU0PX0mPxTW3bmfLJZxGLxAHpF\nseUfqdrl+50OFyHUDDSVgH6yPjQiRWg340jCwsFu5trKVBpDr6Vz/9n7Lm/po1Z8dtb8IxV1\n7ktS1mnRundY7KlVXaj5R0MWnxF/VJC1I/w0T33Qpm0ButKkbdsfyT/azmKzAQh1deY3PyyE\nUHPWRAJa8vJlOoBe115O1JobCMNRC1eFzJnno1/1xU7MevvaAZQlJj6v0Sx/sHXrfZn+yAmD\n/CeNbQlp0REXRDV3ZLFYAKpMZhN5MxFCCqKJZArFxsYcgJP66s0n15Bp7pM3rZwT1Nn4y71I\npVIAoFBqPElXcG5zTBo4TJralUpynTLVjVy8d0tCeY392Gw2gLq6+tcdA0II1dREAhra/b5u\nrIX04lSXrlPWHbyZxv74KkV9ZJ07/wrAyMfHrlpj6b7wA2VUn5BgewAAswlh/qq80xG7sqvv\nyGKxAJQrHmya1MPBkKlEU1Y3cew+buWZrI/OtBFCqCEUPqCPB1JrWx/RemnN6xCg47/j4d34\ned7i04uGd7LWZurbeQ0YP3vt7ospLGntPb8nF7LzXlyKGOe/IBGsxkcu7kL+sC0jass5oWZA\naKDh29caQ8JGG8lubd3+9MOF6Lf3CLPOnyruuvzUiyJ2wdNzK3x4x+b5Ofdc97wxvykQQgjg\nJwjo6sstqnm22OGTUo12I//cdzu7rOjljePbZg90pKaf+GtcT3tjc59ZRzKFNWur5z5JWc/G\nc2xEZuvQ+PsPov10P1RJkyK2PZRZjg/1U3nXRO0cOsWJeB0Tcfn96TFt5KHKykpO+tnlw93M\nNZVVdKw7jt5wflegAfv63NDo/O/wpiCEmgXKl0t+Nkq6tl79bL36/QoAEtaT/X+MmrBmSA/R\n1WcbvZXfF/nvFh8b9aWD558M35kDAGvcyWs+3ha/5dDfPiPfrtug0BmMj7cz+/86QHP3tmun\nL3Inj1H9qgNCCDVTCn8GXX9y+cfL3wAoWm1HbV09VE2evnvPnYZ2WLwn/BDLODRR9sn5+8O5\n1tyTEbF5n93dwEAfQMZmcxo6LkIIAUBTCehHf/u00tfy31PrWmcSgAyggvXFa9EfeRW15bLI\ncEiAJ/HJJueAAEvp7a3bnwAACB7vXjhj8tKTxTVrZBkZ2QDKLVroNGxYhBD6v6YR0HbtbXjF\n5Wf/XnGb+/Emee7u7ae5oNSluxe5tl3rIr0Vvv0xGA0O8KztLWoXMMQSUqK2XBED0FWyTqzb\n9ufSna+qL/ErjY86zgeNgUN7UGvZHyGEvqxpBDS9298JyzupJ//t5zV61dEH2Sy+RMxj5b+6\nGb94YLdJJzgtBmzbFmTQkB6rjoXH5YLR4ACPT8+fAQCcAgKsoGhvxOEKAJsZ0YudaQ+X9B+5\n5cqroipuSdqtHZN7hpzkWYyOXjsQP16IEGqkphHQAIwO86+8uBMb1q7s2NwB7UzV6XQNY7tO\ngf9co/T561jy86NjrBt0O7QwbsthDhgMHuJVez4DuAQEmAP3eERsPoCK65LEJycXdSzcMqqD\nmaZGi/ZD176w/W333Yexgxv0WwEhhKpT4FUcvtFV8ui6NjouSZYvqdlE0XMbvcRt9JLayuvb\n7TsGU66Ipny+xHlFhnzF+1eq1n3n7uo790v9IoRQ/TWVM2iEEGpyMKARQkhBYUAjhJCCwoBG\nCCEFhQGNEEIKCgMaIYQUFAY0QggpKKK2rxhC31dXbz01JqmkRMpkkl485xEEGInts7nZ9q7y\nwiIxmUzYWNMEArlEKtfVIT9/IbK0pB4+XDR4kD6JDKoqxNWrVfb2Ktk5Ii5Xqq5Oaeek9PKl\nmMEg3b3HUqKRJ0/Wef1aqqNDup4ooFIJPV0yiy199bJCXZ3O5Ync3TTT0oUUMqGkRMrI4JiZ\nqdna0nJyJHl5fENDul9fekICT5lOMjamcDgyTU1yaqrI0orK48pzcsUDBqhcOC+QA2RnV/bq\nqXXmKM/IguziTL93j29hQbOyouyN4bt0oj65LbdsLX/1mmNAsjRrX5aczLOxUSlPNuFqZggE\nMh5f5OOjKZXIT50uYahSWxJtSBYZPK6MySTLZPLcXKH/ALUjhytkMrmmphKVSmS8FM1drL5g\n4RsyWT7mV8PUVHFhoVhTi+Lcjvb6taS8XPrscVWHjsyCN6KO7ioH9pV189GwsqIcOMgqKxNZ\nmKvpVrV6UvnAxVkr+YHYyZ2alydi51Na2IGqCqlPH9rNWxKCgOvXy9q7aFZUyIS5+qbtS8vK\npLo6lIxMoaMj3cmJ7Ogov3oVku6I3rwRamlTqRRixAh6QoIwLa2KITXs6CuQSORJd7mGBkqG\nhpTjJ4s6eemUlkpsyjvTPO/69CAvWMDq5KWelydRohNyOYhF8kcPKnv21rh4qdS3lw6dTgAB\nchmcO1fm66t97z6PUqHfZxT37l2RkTHl9gVw7SJ//Jjr4Kiqr09KS5V4daLtjpB5+8nz86U6\nOmQra/Lx47yiIq6nh2ZBgcSpHe3xI5G9A+3RI4GJCdXRgZKfL8svkJqaUErLpDnZohZmtKpK\nWclrDblczqcXsssF6mSdrhpdBXLh2bITfIE0cJThs6dCVVWSuTmVTIE3b6QlJdJKjkRHl6pE\nI3KTGS3aVOU9ZdJJ9DfcNyIKh1P1/+87NzNhZudxOui6siSsNHY6AAw2HnQ4/0iw6aRtudur\n/8+vQqe0ZjrfLb73/mfBPN1vR95OV2cdNluSllm+eqXJH3PzZvxuXHqoe2xenHkLZmYOBwBM\n1IzzKj/+8l5He62KclFuwf8faDegn8Gxk4UAYMQwnPoHef7CvBFDDfcdfAMAPgbdLxVeflum\nr6JXxCvuY+h75s25mdON16zLB0VNQTyDRgghBYUBjRBCCgoDGiGEFBQGNEIIKSgMaIQQUlAY\n0AghpKAwoBFCSEFhQCOEkIJSyIA+N4FBEAShN+JwaS1bj42iEIT7mqy3r6p29SUIwuC3a7X2\nVLrNhyCIljOTavZcHZmmqmXq6D1idvTd0moPFaylkiBIVBVNY3uvIdO3JhbW8ghaceaxGe5a\nJIJwWpX2FYePEEIAoKAB/X8l+6eGHGd9h479d4vl70irClKuRwa1TI4I8nAasi+37kq5XMor\nfnVj11S7rJgp3m39tqdWf0isMP1QiEe7wNPlKor6mSSE0M9GcQPawc1NtWj/5Gknyr/rMCRl\nnRate4fFnlrVhZp/NGTxGfFnaumapo49pkad2eCnVnx++rxDnHdbnqz0cB571TH8/o2Zjt91\nugihZkRxA1pz2JqV3qpvdk+efub7RvRbZr197QDKEhOff7lWr09vFwBeYuLDdy1FYqf19+7t\nHNVK+XvOESHUvChuQAvFRlOjV3gqF+ycNOMi58v1X0sqlQIAhVKfx+hKJBIAUFNTe9fQc1HM\nOHuV7zY3hFCzpLgBLZPJSFa/xfzpQc/bETTrYtV3Hi7r3PlXAEY+PnZfrs05evQhgEnv3q2/\n86QQQs2a4gY0AACQbKfFLO6glB0VNOfq94louZCd9+JSxDj/BYlgNT5ycRfyZ2pF5dlPz28Y\n1WfOdVLbsKjF3krfZUoIIQQACh/QAORWM3csdqZmR0yYc4P3jfo8Hkj9sHJOWc/Gc2xEZuvQ\n+PsPov10664kCJKSZsu2g7aWdVpw9MHtDb4632g6CCFUK4UPaACKw6wd89tRMiLGz7/B/2Qr\nQRBf7IFEqnmYNRbPycQ8dm7y1fjlI9uof7JnjUrxo0VtycCX2Y4IG9AKLzgjhL63nyCgASht\n5+74ow05ddP4RXf4H8WtioYGFYDP/zS6AQAqKysBQEfnm5zsUpzmbQ+zIdI2j19wq/bhEELo\nG/opAhqA6rQw5g97InX9uMX3CTq92hbC2cWZAE5KyscPwwEAEDx4kAxg5Olp/m2moeS2bFtw\nC1nahvELkgTfpkuEEKrLTxLQALT2C2Nm2Mlfrhu34VWNxcamgdMGacGdbetuf3yJWvhszeqj\nPGWvWaEeX74MUk+qXVduGW0ke7Vh3KIk4bfqFCGEavPTBDSAkvvSmDAbefKVxOIa7drDIw/P\nal+03s9jzLpTjzKKuIKqovR/T6791d170Svb4IMHw8y/WT4DALPv2g2DtGUp68YtvYcRjRD6\njn6igAagd1weHWrxadpqdfn79ourK3vwT8z1d7XQZGhZuPrPO8HruuxC8oOtfQ2/ZTwDAOgE\nbF7jx5Sm/DNuyUMRwLuvZCIIgiDUgs4DwJO51v9/TRme8I1HRwg1G/X53Nx/zje6Sh5d6xaV\nTuvTZetr2UA19g7+xzv4n0b33KBKozGnKsZ8eKkTfEkeXK9eEUKo/n6qM2iEEGpOMKARQkhB\nYUAjhJCCwoBGCCEFhQGNEEIKCgMaIYQUFAY0QggpKAzoHyD7qWppiTQ/RenqZZaJCb1DB8af\nu3Ot28m6dqNaWdLYOfT7VyiFRZLSUimLJaMXWGtqkM6dM2hhRioukp49V06q1LGxIWtrUVRV\nyWoM0uXLlXyBzNqaIpPJaTTytWuio8eKDxwsMzSgWFtRHz+uNDCgtGd45eVzlyzRLSgQjxRN\n09WlmJtT6coUc3Nq27bk3BRKUQnPwoK6bStLR4dSlK784qaaQCi/cLFUVZVkbU1JTRMoK5N2\nx5UbG1PKy8VOThp3knjWjtTMVD6ZDMYm1Jf3lCur5JaOpOx/mWJq+YtHIqbckG5afP1ypa7I\n+k5SWQr7ZYtKVw8PVRKJGDSISE0VTw42UFenm3XOmTRJSSKVZzylduumtGgxMzNT6uam5uur\nzuVKKislfgMZGzeyKFSwt9e8eYvf1omansnxKBgdsfWNgwPlzRuBRyfm3XtlVArpyXkdj07q\nYjHcvSesYEmXLTUsKuZOXZs3dow+u1wqoVa9eECIytT7BNBkMnmnzrQnT6QmxmRlOmFrqy58\nafUmlUIzKaQrEX596MnJPIFApqVFurTF8vUrQiKBp/9WMRgUb2+6lha5igtbtxF+fprTFovY\n5bI3b6TKdHJqWuWpk6VDh+jr6pJ79lBuMfg+AGhoyDU1lJ4/F7LZksI3YnV1kqenUoeOzIIC\nibubVpeuFJEIsrIkrVuTnV00yytkQqGUJ+HFbOVkJpPV1Ih+w0lGRuTcPG5pqSQnR/roHnfy\nZK6WmVAqhdw8YQc38tMn4h07aFaWanyBvCxT1dCAJJHINdQJsVjewpTCZBJpV41NTSi2tqTM\nDKFGue29e+zSMgnNoKySkq+mRnV01FTS4ukOSszWS1y1ysBOy1ZDnejbT7miQnr9euWZQ6Ls\nLBGbJXZ1VX79WKqpReJRC9u70J7wn1orWdMoNB2KCY/Oe/vHwoLOo/OuVV6n6rF5dF77djq7\ny+J5dN66kvXva3h0njZdqxQ4dr3y3recvpt1ufIyj867/iLn6ZsCS3ONkKWvHe21/tyaurV0\nG4/Oe15c+LaSIAgjfdXFC02qd8hmCV+xit+/3Hsx4+1f0iTpv//12tRYLeZE+tuWE+Un35dl\nyrJ4dF4C+wiPzlsWkdrCWO2LP7M/CgY0QggpKAxohBBSUBjQCCGkoDCgEUJIQWFAI4SQgsKA\nRgghBYUBjRBCCgoDGiGEFFTdAX1uAoMgCIJos+x57QXiy0H6BEEQhNeGQgAAeDDHiviSIfsl\n1TuvgURV0TS29xoyfWtiofTTmeiNOFxayzSOjaIQhPuarI+mXa+eAUCYe+Gfsd52hkw6VYmh\na9mhf0jEjWLZJ6MPiJd89n0U515aF+znbK6jSqMqMXQtXftN3XApT/zZfRBC6LO+fAb9LDry\njqyWdu6J6AM1Hw7YflWavJobYcYA0CuKXb0xYXi1Z7j47xZX2yTlFb+6sWuqXVbMFO+2fttT\nPx60ZP/UkOOs+h1WPXsWJa/qat9rUZJZ2P7HBeXFL88ubZ+3c2oXt6BT7PqN85Y8c2d/lx6z\nzlNHb09MK6sofnVt81A4Mb2H84Ad2Q3pByGEqvtCQJNIJMjdHXlW8MkW1v7oo5VAIn27ayQk\nuqapY4+pUWc2+KkVn58+7xCn+lYHNzfVov2Tp50o/3Y9v14/dv4dnsvCo7uCvS20VNVN2o/a\nsm92W1nWjnlbX9e/e/nl1X+cK2EMW7tnWk97QzUVdWOHPrP2/tVXqeTM3LWJ8obPFyGEAL4Y\n0M6ensrAPhh5qOKjDTlxUReEYOviovrNp6TXp7cLAC8x8WH1Vs1ha1Z6q77ZPXn6mUZEdK09\nlz96VWWq7/nLsFYf3gXCtktnQ4BnDx6I6t0tPyenBMDYxqb6e6Fma2sIUJyVxW/sbBFCzd0X\nAprac1BfVeCdjowvqNGevCPmrgzajBxo+R3yRyKRAICaWo1vMBGKjaZGr/BULtg5acZFTh17\nNqxnjWE7UrIKE6db1qghCAKASqfX/58GKs7OtgC5z55V/y1W8fJlIYCtczuVRs4VIdTsfSGG\nxNReE0cZgvRmZEzKh1bZnagdyUDxmjjWRvL5e2eNkXP06EMAk969W1dvlclkJKvfYv70oOft\nCJp1serb9VxD1dX4YwWg3m9g1wY879zp901T7OXHZg7/+0IaWygRlmdeWhO44AzhGLY5rO6h\nEELo874Q0HI51Sd0sgPA05jIu+/urQnPR8fnAnNgyGgT+Te8wioXlWc/Pb9hVJ8510ltw6IW\neyt9OlvbaTGLOyhlRwXNudqAiK5HzwAAIMvdPfqXyByG958rh2g2ZOraPcMvn5xr83huL2st\nOpWuadFjzoNW84+eX9ejQd0ghFB19fiHvH1waA8lyI6LPC8EAIDKI9EHWWA8JmTQ136L6vFA\navW1cEqaLdsO2lrWacHRB7c3+OrUugu51cwdi52p2RET5tzgfdOeuU/DB3qOPcq2/y3hSIgN\n0ZDjkLzcMcC997oC7/Xnn+aU8/ll6Vc29shf5+fae+PT+l/KRgihmupzpVU3MGyEFrAORCZw\nAKB4X9TJKsIpeGqnBlwEqF2NxXDiR4vakoEvsx0RNqDVZy7cUhxm7ZjfjpIRMX7+jTovgDew\nZ0nuialeniEnOB3mnU3c3EurYYeREzFxyolch4XH94b2bG2qTqdrWXSdGnt8kUvhhVlTIjIb\n1hlCCL1Tr1thyn3CgqyBeyp6XyGk74q+JlbyDZlo841nQnGatz3MhkjbPH7Brc/feaS0nbvj\njzbk1E3jF93h12Ol3xd65j3a2Nt1YESK0ei4pKt/ddVu6MSFt6/cFoJZj16takzEultXUxAn\nXbslbGiHCCEEAPX9qDfhNDWkM0WSmHA8cXfcfbn2sJARet9+Lkpuy7YFt5ClbRi/IOnThdfV\nUZ0WxvxhT6SuH7f4PkGnf0XPguTw/j2mXZJ4Lb+SFBvYqo6L058lEQqlAGLxxx8b5PP5AFKx\nWFrrXggh9CX1XUxmOjZsIFOWuC3s4HOwmhDiq/xdZqPadeWW0UayVxvGLUr6/Iknrf3CmBl2\n8pfrxm14VZ+51N4z6/TE3qGXRR1XXjg736Ox9/NUPbycCMi/fPFF9c8+ypOvXCsGwtW7E66z\nQwg1Tr1X+zL8w8aZiR4/TiG7/za5fYPuoTUEs+/aDYO0ZSnrxi299/mIVnJfGhNmI0++klj8\n2bq6exZenh+8O0/F55/9c5y/JkWtQzbOclR6tnLI6K1XUgo4QhEn93bU+OH/PKU7Tl832eor\nekYINWv1/zgG2TPkt/YkYPQPGWP2HScEOgGb1/gxpSn/jFvy8PNLZvYIxwAAIABJREFUIOgd\nl0eHWtT/d8XHPd86cCAPgHsp2OzTr1dijDlVY9+ay0L+jzL8GAAAMDuvvvNvwmzXwq1jvKx0\nVBkGbYdvznKesf/hnTVeivu8YISQoqt7JYZvdJU8ukaLxcz70pk1i4Yk1L0S2mtDnnxDvTuv\nxmjMqYox9SpW6bQ+Xba+sT13i2TJI+sqrV+H7zHsBi+OHbz4i3UIIVRv+H3QCCGkoDCgEUJI\nQWFAI4SQgsKARgghBYUBjRBCCgoDGiGEFBQGNEIIKShC/i2/0hnVi1hMaaGpo28hLslU2ntS\nvmyE3ZnMm46OKsuXqw4bXkBXIgWO0k+I5/21jtGihSwslBsgC74uuF4iLunQi5dxxTSp6L6G\nOjVY4/e3vUmGxK9ZW2BspHrrFi0qSkW6Z+TIUzvGjZWbt6Tm50tu3SnV1VYazwgzmbHn5Ss5\n49Qofv94ChXEYji+m0zWqCgp5WlTDAOnytZvKNywwWBHjNDGlmphQeLtGHnfctflK8Xu+h14\nMp66bVHr1tRdUaxQ49Aks530NKfxG55HR0syHzL9x/JVVEAYOxIAXP6JXzyF2dan3OzOaABY\nlf33HLPZRV1274x901rHwU/VL7pyQ6tWzKJisW6lXc9JuYLYkZkd4mRyyM+TdH4zDgC6Re5e\n9qu5skPaxcvFgwYaPLmunM7KfJmivct3/L6KvUKJyK0bMWYM+eoV2BcjNLOD9OeSKhnH0UGz\nOF1p+iLS+vXlbkQPvlyg5vX433/5bQXdSyQli/ekKtHl0wYaM8hqbjS3/Zz9bj6i62dllYJK\nP4M+saknF8zXyciQEkAcPV7ooeeu556prEJ0704uLYVdO7n6FW0qDJKnTVN+/Rqke0YCwLq8\n9dNNfv9X/K9K+2dTppI2bZRpPvMxJhlf0Y3R1aW0fvHr2/80p9WiAwKUjY2hrAxYESPfvyHT\n7289e4a5/Q/TmRE5W8LFrhljAeClU+zDh9w2sk7pwvSzD0omeDhpeqRYPRh9hX+FTqKztZ8n\n3eP9aR92R3jnpez+WOXQE9wT/VX7A8DGorVVXPnfqwzvR7imaib6VU7w3RUXGQlyOZibkyO3\nl7jQvSduem5tIxaLCCpVvrf/2KNKkc7O9H37C4eZBBRJityV3NNc4pKSKkdRpwLAHskWcbnK\nqEnUx48lL15UFRTy5pjNTnOJs3o4OluabUb+rh9U+zFWZa/+0VOoHZ5BI4SQgsKARgghBYUB\njRBCCgoDGiGEFBQGNEIIKSgMaIQQUlAY0AghpKAwoBFCSEFhQCOEkIL6aQP63AQGQRAE0WbZ\n89oLxJeD9AmCIAivDYUAAPBgjtWnT636yJD9kupdZB6b4a5FIginVWl1zUNSdHf3kqABHnam\nuurKVCpdTbdl2y4B09afeF31LQ8XIdQM/bQB/c6z6Mg7slrauSeiD9R8mmz7VWnyam6EGQNA\nryh29caE4e+eASZMPxTi0S7wdLlK3R+FF6btneBs4T7lUKVzyPYLT7NZVeycJ5ciJ7ctS5jt\n39Z1zMEM8Tc7ToRQ8/NzBzSJRILc3ZFnBZ9sYe2PPloJJFIjj+/JSg/nsVcdw+/fmOlYVw3r\n9OQeo2KyO/xz88H+RSM62xlqKCsx9Cza9gzeeOn27mHaL2NH9J577/PPvUUIobr93AHt7Omp\nDOyDkYcqPtqQExd1QQi2Li6qjeu4SOy0/t69naNaKddVIbm74redWWSPJbEz235SRGoxfOua\nEdb2ZuUvUqWNmwFCCP3cAU3tOaivKvBOR8YX1GhP3hFzVwZtRg605Deu456LYsbZq3ymQH5t\nZ1wWkHtOGNui9gLN4XtfP7sQPcaB3LgZIITQzx3QYmqviaMMQXozMiblQ6vsTtSOZKB4TRxr\nI5HUvfNXSU9KKgGwcXPT+E4DIITQzx3QcjnVJ3SyA8DTmMi7724VCs9Hx/+vvfuOiuLqAgB+\nZ7awC7ssVbqI7FJsFHtF7BV7J/auaGJi7yUmURNjFNRYEVvUYEUBG/Yu1lB26UiTDkvbMt8f\ndBYQ8oE70fs7Hs7uvPdm7rwzXJ6zs+/FgfYIj8nmjTfXdVJSEgAYGxs31gEQQui/naABAFrM\nXdRXA2KO/RlQCAAAOb4Hz6SD2VSPkfxGPCqDwQAAhaLyHeaC48OrPrhX+pAfQgjV138/QYPh\nN4sn6EH6X3+eywaAlFMHLucSjnMXdGd+suX/wczMDADi4+MrbeW4Xyh/ZC/fZ3BjRoAQ+uJ9\nAQkauIMWzxKB9MrBU0kQcfRgkExjgMdsm8Y9ZtPu3S0BIu/ejf90XYQQ+le+hAQNhOMCjx5M\n+d1zF+/6HHtG6Y/zmNCksY/ZefYcBxLue+16gU86I4QaxxeRoAEspi0eoa28u2/xmfcgnOkx\noMbHlxuO7bf7lzuwwn939/BLVv0sksp4sOPgQwCurq5G48eCEPoifSEJGnjDFk+3LHr1KoTR\naeG8dsTnOCS345aAKys6fTw4zNHFw9PvRUyatKgwJzn6zQ3vH6d2su2x/k2zKXsfnpyi+zmC\nQQh9gb6UBA2Mrh4L25HAc/OY+n+vCp+6r0/pQxj8WQEA8HqlqOQ9c/y58nqkUb+f7ka8OfOt\nQ/LZFaPaWxvy+Mb2nd0W7X3E7LPu4tuoF0fnOjbmoyQIoS9boz7q0JgGHMylDlba0vyHZ4of\nKlcafa7mJ6G7/R5P/V59kcHcG9TcOsZBCFqOXL575PI6VkcIoTr7YkbQCCH0pcEEjRBCNIUJ\nGiGEaAoTNEII0RQmaIQQoilM0AghRFOYoBFCiKYIqvHmTEY10NXQsdexj1C+Egg0FOl6XJPM\nrEyZjg4rV6rQ12fpJzon6b8Y6sY9fjy7dWvNlGT5jBmc1atTyQJtMxvlt99ysrLg/E8idut/\ngm5ljhill51N5eUpKQooCqytmT1cyE1LWDbt8549yxwyVJ8gwP9axoGDusEvydwjE1puPDV9\nRsLokUYKBYTfM0gvTLPTss80fZ0i4bbvLf/7fKKZsZa2gM1ikgIBKZNYLd/7YdkyqWtPLX//\n7DVrBXPnJSyy8Ajk+ji35bi7w7yJ7EH8QXFtfAGgdRtmz57KFy/IZ08VevpEYUBvRbebz57n\ns5hEWiyzZQd4cC/7uJnP5rxN+q2SCQAul7x1O3X2LKNwsSL0CVfHMmfRIs6tW8qPKYrxE1gb\nvmN+yI3r6WLw8FHaDz8Yi8XKPKkyIUEeFZXbqpU2FWafovN2xgzNwECZtjbpdzGrs0HnST+G\nrfsOBo2lhCLijz+y2rTRun7946hRTfT1yLPesvEG441m+QZ52iUbBvdy5Zw9Apduy1eugPsP\n0hza6PL5ZFycbMgQTUmE4sdHt37s3TswMKNLZ4GjE/Pkidxhw3lxcYomhuSp02mDB+n1vPvj\nuox1UkYKSRBm5loxMTkkSTg76zRtyrjuy7DiWEUygh3BBRyfr1gJc2YXCUXs8LAiZ2cOj0ec\nPyHbZrjtVNFJZYvX1uEjRIuvbPslrW1bQW6wTffpkfITE6/yD/2wlOsxK9tCyIwSF8xeoBsd\nrbBsyoiJURgYkhpsIjpakZOrJEkwM2P26kX6rBHmN31vbsa8cSPNhtPGqEP8oHfrrrbalCdV\n9unDDgws+vBOkFQU3bKFzpNnacZNuAUFMjs7QWKYVmJenDXftpdWr3dF72K5wbk5RULSyap3\ntL9/mpaWhqmZhqEhIyqyKC9PYW3Nef+E8SE3IYOf7kg6HuIf7hPfZ7r5tF5kr1OyUx3YHb5N\n+26I1uBJHPdx6eOm86e+1biTHCc/ZXLKf+jcLle2dZf2sEizSOenx/BimBTzDft1FpHVoahj\nPpnPplizimb5UX79of8d+d0+rF6vU9+ONRvDJthjiDFpZNrJwpM9NHq4FQ37m31uaeqy8wa+\nU2KmAsD5pr6HW81v8W7yi6LnN5JuuRj1KKQKH6c8WdTU46LSez3j98UJi17rvAnUDDiSf2Q+\nd/4NxY296fsooJw1nDpodTgRf/KYpffkmCndjLqO4owKUYb8GXtAzUmhBjiCRgghmsIEjRBC\nNIUJGiGEaAoTNEII0RQmaIQQoilM0AghRFOYoBFCiKYwQSOEEE2pPUHnigP/XP1NH2dbSyMB\nh8Xmajexcuo9ftm+e4nyCrX8Z/IIghh+XF7jfsrIkx97r5sxtKONmT5PQ4NnYC5q02P0kt2X\n3mVW/kYOlfnuzEZ3l9bNm/A0NHiG1u2HzPvterys+p0WBs5uQhAEoTn8eHoNNeICt09zsTfR\n5rA0eIbWHdw8vO6lKOvWBwghVB31Juj0aws6tO6/4FS2y+pjQf8k5UjTY97475pg+Gb3PBdH\nt/0SRT33VxR5epazded5pzOcPA7ceP8hK+vDq0DvtX3g2sphTg7Ddr7ILq2Zcnmas/M4z7ge\nG8+/SsxICQ38xTXrr+/7OY84GlfNfjP/2nPiI6dJE+38K55HYqs57rufXVv0X/fYcvHpVwmZ\nKaHXNraLP7KgZ8dZVzLqeQYIIVRGrQn69c5FXiGF9t/7nls7qqOVPpfF5jVp5uy27NRNz0H8\nlGtLV/tm1Wd3mQEe/SYdFLdYfeuF7yZ3F3tjAYcjMG/RZcy6c88CVzl8vLxk4Kyz6QAARYFr\nZnlH8Sfsu7B5pIMpX1Ng7jR625l1XYmPfut2P1XZcfThPX55gpF/7BtjqHi8b39w1S/Hh++c\ntvpRXtu154/OdWmupyUwb+fueWqZgzL68Kq94f++exBCXzl1Jmh5aGgEQBPX/o6sygWEifva\nnz1WrOpjlFv3vSle/LLwzwjKYeWxTZ1UVmrlddm0/9t2opasuNAcAIgMSTAUCUdNGFxxxW0T\nBwdDgIT4+Co3Jqjne/c+UxpNmjly2JxpzUBy0CuwqFKFzOCwXAujrhPH2ZX3JmHbs4cJwNvn\nzyvXRQihOlPnorFMGxsrgARxWKLS1aTyXwp2p3l/dKrf3u4ePiIBwnX2bLtq/+gw2m59Vjaa\ntVt85e3iKhWo6OfBacBwautQuX2B/+5DEmi5boEri4T5Czr+uvSk57nt/SfqlNXQGXc4ZJzK\nAQmCAGBxOGq/y48Q+q9Sa/pw+u63ac0V1xe0dZ3/25n7kowaPqGrk4iHD5MBmnfpYlzflsqi\n7IQ3V38b32/1czO3XQcWWlcqTT215680Vh+PuS0AACxnLh6mlefndTTmEzvNvX38QgIIho5w\n/c+um44QUjf1ju8Mhh1+8eT4KheZ37rx3UX62kb23YbPWParz/WQ9Pp+PpiUlAQAJiYm9WqV\nua8PwdAQmDkMXv/GYeOlO2cWOGpUqhB5wNO/UHfMom9K9qszevFkU+WDvfvf1DJLqzLOZ/LE\nP2N5Lpt/Gq1bczWEEKqV2v8DruM0afOphzFpyaH3Lu5bNqIVK+LSj9P7tTCz6rPUN6qw7vsh\nSRIAlMr6PdmmM/cGpSzKTg4N2jMyb+/QVu2mnoyssAfFY699L5TWMxYN1izdxOqxaL4jEX7I\n62YNN5elb/aM6DrtfEaLhed8PWyIeoWDEEIVqD1Bl9AwtO02dMr3W/edDQpNSX7l4y64v2N0\n32V38uu6A1NTUwCIi6vuKbnaESx+E1uXKT9e8lsjfO89Y86B+NKS/Mt7jsQCROzoxCDK2a95\nRUHKcc+z2Sq7ksddWtCtq8el7A6rrt3d3V+v3rEghFA5dSfo6hZ0Yeo5uO/9ZSyfivA58aiu\nO7Ls2tUMIC4oKLJux5VJpVXG54zWQwc1g4KggLslY+OUE3vOppstuqukqnqxUiS97OUdX6l9\nXvCuge1HeIWYTj72+PaPrvp1jRwhhKqnxgQdvK2PnZHesBPVPutMAigBstLrfi+668xZ9gDP\n9u18UFBtecH9pZ0cR64LSABIPdSPo8Frt+V9lSrZ2dkASooqvi8RdsDzZpHJ6DFdVW9TOI8Z\nY614uHf/6/K9v9vj1vfbG/JuW2499v7GTkOlCUII1ZcaE7R9O5u8lMxr27Y+lFYtouJ89vtJ\nQaNn726Muu6OaPXD3sV2jCivqXPPJ1S9E62IOTt78s4nkRkG1sYABr36OJAQ+pf3k4qDaPkL\n/1tpwOjSszsLABQP9ux/BaajxnStroucxoy2hpADnreKHzxJ95s9cNHNos4/BV5b3QU/FkQI\nNQw1JmhOr23ntnQXvNs2uNvkn88/j0nPl8vy0j+E3T++fkSvOZeymw7ft29WfR6a03L5NfDc\nQsdk7zHOPRZ6XQ2Oy8wvlKZEvLz6xzyXjhNOKQb+euvCIiEJAFYLPTd24It3jhnx85U38Vl5\nOYkhATsnjtsZoum86tfZTQEg98KeY3FgOmpMl+o/5nMcM0YIySe9/s4CKLy5eq5PvGaf7adX\nOGtWWxshhP4Ftd6D5nVYfeufR96LndIurBzuZCHgcHTM7Lt/sz2IOejHC+/en58qqvwQ8cVv\nWIQK5vgLZRUYFsN3P414eniOXczRbwc7mOtoG7XsNWnN+YzOG/zev7u0pJ2gpKJm+9V3gq9s\n7Ks4vcDVtom2vrDbHO/MHmt9g+9t6sAFgKRjnn9ng/Go0d1qegyj7ZgxViC96OX9AR789Vc8\ngPTGXEvV6HhTrzRK1yGEvgLq/hoFs0nHyRs6Tt7wiWoDDuZSB+u2R4Zh+8kb20/e+Kl6HOvB\nqw4NXlV9ofH8W0Xza2/vvDWS2lr88s906s+6BYcQQnWn7qc4EEII1QATNEII0RQmaIQQoilM\n0AghRFOYoBFCiKYwQSOEEE1hgkYIIZrCBI0QQjRFVDedHEIIIfXDETRCCNEUJmiEEKIpTNAI\nIURTmKARQoimMEEjhBBNYYJGCCGawgSNEEI0hQkaIYRoChM0alivVghVV/4qMf6cuqP7NMkW\nR4IgCLs1r9QdCUKYoBFCiK7UvSYh+kLpz7meuq+PuqP4F4RrXlFr1B0EQsVwBI0+qw8+w/UJ\nguB23SUpngQm6cgQHYIgtLruCFO8XikiCILovuvN/R3uHa10uRy+ZcfJns+zAACgpHTIkfCL\nCzqZ8LQmnisEAICc4KNLhneyN9fhcgTmTm5Lz4TllxwsM/jI0pEdbcz1NDnaRtadxq72DS/8\nVJHqLQ553PXtM/u2NtPhsjX4RjZdxq08+T4HKoY0+Ehq2MlFrjb6mhyeebspB97kNn5Hoq8D\nhVBDCl5uDQCgP+d6DRVSfSeZAgCv995Yivp4Zqw+AGj32heppKiQ9S0BAMxbttSueI3qT7qc\nS5WVdhg0yAAAAIb55FOU/PVPHTWrXNNG43xTKYpKOjpEp0oJYTzO92PtReLNDgAAtquDi8ON\nPT7KiKj6W6PVYcurQoqiQje0AgBwHjHSsmJxU48HRZ+jr9EXD0fQqFGk7e9b9SPCVhtCAQD0\nR3gdm21F5N5csXD3oSWLz6SBrtueY3OsCAAmkwkAEC9mzbgqycpJefrHIAMASDvjefpjWemz\nG3ETLkmy8nOOj+aA9PymzU/yQLv/jmeJ0sL85Fdew40g+a8NXiGgeOAXkAlgPi8go1Ahkybc\nX9VFV5/9LuBeZm1FVRRd3/Dd38kU8DsvvxaeLs2KvbOtnz6A9OnmtafTARgMBgDAy0vv+515\nn5YZF7DEgQkAsb6+Lz5fV6Mvmbr/QqAvTMkIuhot14eUVpI+XGrHKNlsPO5sSsnmktGr1kTf\n0gHo0yWWAADGC4PKSjWGH88tO1rQQoNqjzX4SB71crk1AQCkrl3fSYs2eZ65HZImL2lWS1Hl\nEfSD70wAAAzn31JUOUGjBbcrhiQtLkza0w0AgJzo2xh9i746OIJGjaKaWxzvNtiVlmp2XjC9\nXfG1Zz116UjDym3NraxYJS9NTU0AAD5+/FhWaioSaZW9ycxUGfQCAEBsbBw4bbx0dGZnU2ZG\n6PUTf6xbMNbV3sx6wJYHWQC1FVVWcmCzpk3LflPMzc0BAJLj42Wlmyzs7EpusxgZGQEAKBWK\nT/QPQnWBCRp9flTUvllbnigZmppsiNi14Jf38krFiXFxpfktPv4DAECTJk3KStlsdnlVXV1d\nAADb9W8r/zF4s84GQKPF5AMP49LjggNPeW5c6GbPL4gJWDtyxU1lrUWVGBgYAADER0eXZdyY\nmFgAAIGBQelfkdI7HQg1NEzQ6HNThO10//56Nin6zv/u2rbs/CfrJqx7WlihQvaZzWtvxkql\nKU93bfSJAwC2k1OL6vfl3K2bJgCEHd7w58uU3MzYe5tcDXVNmvfe/loR/PtgZ6Gh3ZSLOU17\njJ23ZseRPdNEAJASHS2tuSi/yv7b9e+vDwCpPqtXBUZm52VF39q89GAUAGgPGtS14bsGoSo+\n170U9JWo+R40AIw6RRW9Xu+sAUAIF93Jo6ii4A2tmQBkc49b2WW3dI2srbUqNCLNZt/Ip1Sf\nr6AoiqJkwZvbaVQ5iuFQn1iKKnr4vYgFVRkM94mrrUjlKDHeww1VnuIwGLAvQlFtSGdHAQDA\nuLOftdPRlwpH0Ohzkj1eM3HLy0Ki2ZwDW3twAViOKw8tbclQRu7+Zv6VtJJKehP2Xto82sFY\nk83RFbouPnvfszenph0yHddcv7t3Xr9Wpnw2k803cxy++sKjv9wtAFidt98N3DGrX2sLA54G\nm2dg0aLHxPVn75xwN6+tSEXTyWef+/881bWFMZ/NZPON7V0mb7ny7OKc5virgxofLhqL6EOy\nxVG09jXYrg4O3eKo7mAQUj8cBiCEEE1hgkYIIZrCBI0QQjSF96ARQoimcASNEEI0hQkaIYRo\nChM0QgjRFK6oghqOAuAqQAEAAWAIEACgAKWGElqCIkxB2BHyMDlpT8rD5KQdWRRexLRhFoYX\nsmxZBeEFLFtWYXghy4aVL85n27DzxfkckYZULOWKuFKxlCvSzJHkaIm0ciTZWkJetiSbJ+Rl\nSbL4Qn6mJEMgFGRIMgRCQZokXVeomyZJ1RXqpUpS9YR6qZKPekL91IgUy85WkY8iDKwNkySJ\nTYRGSZJEI6FRgiTBWGiSIPlgLDT5II43FZrGiePNRGZx4lgzkXmsONZCZB4jjrEQNY0WRzcV\nNo0WR1mKLCPDo5rZNIsMj7QSNYsIj7CyaS4Jk1jbWonDJM1trMVhYqFt8/AwibWttThMLLQR\nisPChTbCsNAwka1NaEiojZ1NSEiInb1dfmE+m80OCfmnZcsW4WGhdvb24vBQWzt7cXiora2d\nRBwmsrGLiAgTiuwiIsJshLYRkeFCkW1kZJjI2jYyKtxaaBMVFW7d3DYqOqx5c9uY6DArK9uY\n2PBmzWziYsWWljZx8eGWTW3i48Mtmtp8+CC2MBclJEjMzYUJiRIzM2FSosTUVJScLDYxESUn\ni41NRKkfJdbCLlGRD42MhKkfxYZGorRUsYGhKCNdrG8gysgQ6+uLMjPFerqirCyxrq4oO1ss\n0BHl5IgFApE0V8zXFkmlYj5fmJcn4fGE+XliLS1RQUG4pqZNQWE4lyuSycI5HBtZUZgGx1Yu\nC9Xg2MpkYRoaNgpFGItlq1SGMJl2FPUPg2FPUf8wGHYEEUoQrgAfAco+J+MADAL4imY+wQ8J\nUcO5AjAUAACGAFwGGApKP6WcKVeSSjlDThGUjCFTEko5KVcSSgUhp0ApI+VKgpITciUo5YRc\nSSjlhJwqfg2UnJApQSkHBUUo5VC+RQEKCpQykCuBUhS3BTkFlBzkSlAqQE6BUgYKJVDFr5v3\ntp50yN17uvc/N/8p3iIvLqVKW1HF+yzdA6WggJJT8pJjUZQc5BQoFVRxKwUFSjmlUFKUsvi4\nlKKklKKK96OgFBRVUlOhUCgpSqFUUJRSrlQoKKVMKRswaMD5S+fd3NyuX7/KIIHFJAmSYDJJ\nkiAYDIIgCAaDJEhgkARBEAwmQRLAYBAECcWlTAaQBJBMgiCBSRIkAQwmECTBYABBAJNRtqXs\nNUGQUNyquGaF18BkAklAy9Z9p0w5euL4VHH4DSYTSLJsD0CSwGQCQUDx9uL6xaUsJkWSwGAA\nSVBMVuneSGAyKJIAJosiSGAyKZKkiluVvqYIElhMJUlSjJItSoKgWCwlSVJMpoIkKSZzYMll\nBFcqXGSXAYao5/JWB7zFgRpO2VRD3NKfxbNYUAAAFFFhKFCypcKbahRvJyrUoFTKqm5RLaUA\nWBwWALA4TNVjUUBBpTCrPbpKhOWFJW8oigAAgqCq7qfqSZc04nA5AKCpyQUACojynVVqTZSf\nBUEAQEkXEpUOX+VgRPF2lcKScyRq2AEBLCYHAFgsDkGonKLKa0r1IBW3qPQPqERFqByBqHo9\ncCv8LFN1PqsvGyZohBCiKUzQqBHkV/hJA7ICGQDICuSfrPnZFOQXAEB+Pm36CEAmLwAAmaxA\n3YGUodllpA74ISFqBNcA+gPcVHcYpSRBYu9vjoY/CFd3IOX8/f379+8fFHSLpM0YKTzs9tHD\nk2Ji7qs7kDI0u4zUgTZXB/qSKAACAWiz7JNSoZTckygVVddLUSOFQhEYGKig09JYSqVCLL6j\nVNInJJpdRuqACRohhGgKEzRCCNEUJmiEEKIpTNAIIURTmKARQoimMEEjhBBNYYJGCCGawgSN\nEEI0hQkaNQIGQD8azQpJMkhhdyHJoNHVzmAw+vXrx2DQpo8ASJIhErmQJH1CotllpA40umTR\nl2MgQADAQHWHUUrYUzTFZ6pNT1t1B1JuwIABAQEBAwbQpo8AbGxdp04/IRS5qjuQMjS7jNQB\nEzRqBNXOE6k+FaYbpYvi6Ua5XNr0EZRPN6ruQMrQ7DJSB0zQCCFEU5igUcMpG+uUzRNZca52\nqtJs7VA2bXw1E89X3E5VqEGolFXdolpKVJputOqxiAoLAhBVSsqPXtPs9+VvSqbqpypOvV91\npxUbFU83mpeXDxUWFlCJgio/C6p42v7izdUtMFDatmR5gZrWGKi4VELlNQ7KphstXmSpuioV\njqR6kIpbVPoHVKKiVI5AVb0eqp1u9OsaUOOSV6jh4JqEuCYC+4FNAAAL5ElEQVQhrknYoDBB\nI4QQTeEtDoQQoilM0AghRFOYoBFCiKYwQaPGkfP62PLRnWzMdDW5OuZ23SZu8Y8uVHdMWS8P\nznQQEESnHfHqDKMw9MxSNycLAYetaWjTc/rvj9PVGU0pmnQOANDz4lEPTNCoMcR4unWb+hd8\ncyAoIi0tIuBnh5Atg/uveKi+BZqpxJvr+jmNPqfvIFJbDMXSL87qOdFXe/7p4ITUyFvbnd+u\n7u22U6LWj+rp0zkAQMOLR50ohBqcMuXtzas332eUbSi6Ol0HtGcFqC2igvMr3b2eZVI5B/oD\ndNwep7ZAJFscQWeir7T0veLpMivQmxVQpLaIaNQ5FEXR8eJRIxp9+RV9OQjDVr0qTaHAsrIy\ng+ykJCmAlloi0hi+1QcAIFctRy+X7O//iuyxpJ9m6QayXb/eutuuXXsK/bqqKyi6dE4x+l08\naoS3ONDnkHz/voRo2aH9V/cLVlVoaCgYWllV6AeieXMriA8Lk6ovKJr7mi8eHEGjRieX7Hdf\nGqDvfnGhvbpDUbusrCzg8/kVN/H5fICsrOyvcHxYB1/5xYMjaNS4pG88h7nMf9Fq6+X9bjrq\nDoaWKIoCIIiaZiT5muHFgwka/d+CFhoQpYwX3i8vUCb6/+DSbdFrp9+DAlY6f7ZZbmqMhwZ0\ndXUhOzu74qasrCwgdHUF6gqJptR08dAM3uJA/7eee1KpPaqbk/3m9Rh+jDPz7yd7hpt9zvlt\naoiHFuxbtIAUiSQbumuXbFGEh0eA9cBWX2sKqp7aLh6awRE0ahSKd78MGePNXXjl7t6v+hes\nKoOBQzqRd/2u5pRukN31u55r4ebmpM6oaAYvnjKYoFFjiNvrselN601//9ZbV92h0EzT2Ztm\n615YNmPfg+iMrA8vT89feFA2bOvSzvibWAYvngrU/SA2+hJFbnOu7mLTn3NdTQHlHxlcTTxa\nUy6rIxhZxIWVbo5mfDZLy6hFfw/vd9JPt2lMtOocGl486oTzQSOEEE3hf6wQQoimMEEjhBBN\nYYJGCCGawgSNEEI0hQkaIYRoChM0QgjRFCZohBCiKUzQCCFEU5igEUKIpnA2O9TAEjMLcwrk\n9WrC5zBNdDQaKR6E/rtwBI0aWE6BPC1XVq9/9UnoQXMNCMctoY14AqhSJ2OHqxMmaPR1SfF0\n5U+9Uu9mHx/unj/QsVkTHlfbVNR5/Ca/GFnVKhfcOUQN+uxLbZDg0dcGEzT6qlDPXwTXf3qw\n0F8G9V7xRLjm0puU9NigP1yitw0fsvmlsnKl4ccLSucgC15uXWk2uBtzDRoofvR1wQSN6Koo\nynfVcEdzbY6mrkWb/gsOvsitWsN/Ko/otCO6/P1MHaLdz8XvU+/tnNzD1kSHq8EzsGo/YvWF\naDmk7ulJDj6SJfUeShDCNa8A5HF+G8Z2sTPT5moaiLrN2PUovWRPd+YZEr133dw1WKjNGXg0\nldt1+aFLp38d3cZYk6tjM/CnDeP573wvhdfvfGqJ9u78JkSvXQ9PzOvWTMDl6lq7LvVLTrv3\n0ygnE56mTtOO047+U1TcplB8ZukwRwsBh83RtWw7avXFaHl1AWfVrSdrPP0aVderqBFhgkb0\nlBf0fd9xpzS/vRSWmhZxfX2z2wuHfucnrWtr6YWFQ1aEdvZ8FJuZm/Lu7CzWyWkLfJIMFgbF\nbe9YPLaVbHEsuLe0l9uuhF6/3o77GHf3l3YvV/Yd5RkBAABsNhvij+wKmXQlJuPiJH3LbqMn\n9haxS/dOaGiwG3SZVzabDf/8uuJmV68XHxIfrbJ8umNWr4Gbs2b6hiZF/j0qz3v+sjMZAJBz\ndZ7r+JOyKT6vkzOSXx4embZ/ZN9l9wtVA9auuPOaerKW069XrzZYLyBVmKARLeVc3HkwymX5\nzqnOJjyunt2o/f8UJBwYrFXX5rFv32brdxnau5m2BkvTuN3sM1EZftOMK9fJ/nubl6TtymNb\nBtsIePotRu7YOV0naLvXM4DiRbYlegM2T7TT5bJZVTJxwsnfz6Q6jx9t8/+fZgXprab+5t5G\nn6fjOGtiZ0hMdVq6ZaCVgGfce8Yom/xXr8IAUv/67ViCy6rD3/VsJtASWPVevWehveRPT/+i\nWgOuqSdrO/0a1KVXUYPCBI1o6d3z5wXGDg5G/7K5Tf+htqleE1zn/3TU/+WH/GrvOr968qTI\ntHv35qXvmZ26dmTEvH1buuS2SZs2hiqNqOQbS4bOvtty27GlLRtuBA0AYNqihU7xKx0dHQC7\nVq2Y5W+zsrIA3rx8qTBr1648I7Z0cmJLX70S1xZwjT35qdOvRl16FTUoTNCIljIzM4HP5//b\n5owOW+/d8xxnELx/0eC2FobNei70eV9QpU52djYk/Nal/FkL7kRfBSQmJpaU83i8Ki2kb/eP\n6jjktNGW235LWrKhYXE4nIpvudyKy3xTFFUccKU+IXg8TcjJKV2AVjVggJp78lOnX4269Cpq\nUJigES0ZGBhUSD01qHIbmMrLK08XpGHHWTvOPYpOS3537SfX9MOTh256Ubm1jo4OWCx9UmUR\nuLerbas/WMadVT26fBcx8PSTy9861vleSx2jrROBQADZ2RVGuMrsbCkIBIJaW9XUk/U8/WKf\n7lXUoDBBI1qydXLSTHj8OLbWSjo6OpCeXvroAfX+ZXChSh2WQcv+HgfWDmREvX1X+TNGh44d\nNT48eRJfl3Bkb3cMGrqH8/3Ne3uHWzDqdgr/JtpaObZvz6oU8Ktnz2WC9u1FtbaqqSfrc/oq\nau5V1KAwQSNa0h713UzLx78s2P04Pis74b3fsvZauqNOVPm6h1379jzxOa/LUTl5GeIrq7/3\nzS55fCH3ytxmTQdsux2RXiCX5yU+P3DqIaOtS2ctAB1dXSJP/D6qIL9AY8T386wfbJm+7YYk\nPb8wIzLotxG2Vt+c/qgaDCX5ffYaycBDlzd01lYtrasao60r3TE/zLB88POsXQ8+5ORlhPut\nWuAZ5fDt4r61z9dQU0/y63z6pWruVdRYMEEjemK5bLt+cpJy/wj7Jk3s+/7wtM3Wy39OqvJ1\nD8G4HUfmmdye1srQqOWYw5rLd083BaVSCcAbtOHAHP1L87pZ6WryTJwnntCYf9F3iQ0A8IYv\nWuQYtsFW3/L7W5weO25emqd7bmZ7U4Fu8+7zLmlPO7htbHWfs/kcfFyYemasfqWvB3bbU78n\nzGqMts60+uy6efYb5qGxdgYC004et61X+Aesd/rUgL6mnqzz6ZequVdRYyEoCj+LRQ0pPEma\nlqvyPeha6fNYNsY4EEOoKhxBI4QQTeF0o6iBGfLZfE79risOCwcKCFUDb3EghBBN4QgaNbBb\nkvSo9Px6NbHS4/YS6jVSPAj9d2GCRg0sKj0/+EMt3xdGCNUV3vtD/y24wMdngCuq0AUmaPR1\n+XcrqijiAn6c3NPOVJfD5ug16+S+NSAOV1RBjQ8TNPqq/KsVVRTPVvYa/EdKf6+7kZlZiY+8\nuodtGTJk62tcUQU1NkzQiK7os6JKisGwneevHl3ZS6jL4eraDvpl3RjOG99LtU5urwpXVEH1\nhgka0ROdVlQxtuo6ZGjb8nmY5fn5cuByOTUdvd5wRRVUPUzQiJZouqIKJc+Nf3p4zrprJjNW\nTbFooHMthiuqIFWYoBEt0XFFldQ9PUkW36LTkpedtp/5za2WaYX+DVxRBanCBI1oiY4rqhgs\nDKJk0qR3Z6Zk/+ziMNW3YZ/MwBVVkCpM0IiW6LeiSjGmplGLfktObhv8wfvnY7UvJ1CfaOsE\nV1T5+mCCRrREpxVVqKjAPTsO3k8r3yLLz5cDm12/ZQlxRRVUb5igES3RaUUVgpsauHWO+5zd\n9yLS8wtzPzzznvfjNV7PCYPr9/kYrqiC6g0TNKInOq2oYjzxxB2fcdQx9/bm2nwT57E70/vv\nuXlugVX9zghXVEH1htONogZ26OmH+k6W5GSmPaODWSPFg9B/F85mhxqYlR7305X+7yYIfQ1w\nBI0QQjSF96ARQoimMEEjhBBNYYJGCCGawgSNEEI0hQkaIYRoChM0QgjRFCZohBCiKUzQCCFE\nU5igEUKIpv4HjGZ35bcfFhQAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "list_markers <- find_markers(rna, sample1 = sample1,\n",
    "                        sample_ref = sample_ref,\n",
    "                        pattern_sample1 = pattern_sample1,\n",
    "                        pattern_sample_ref = pattern_sample_ref,\n",
    "                             \n",
    "                        # pattern_tumor_epi     \n",
    "                        pattern_cell_type1 = pattern_tumor_epi,\n",
    "                        pattern_cell_type_ref = pattern_tumor_epi,\n",
    "                             \n",
    "                        # cluster number\n",
    "                        str_column_of_meta_data_cluster = str_column_of_meta_data_cluster,\n",
    "                        clusters1 = clusters1,\n",
    "                        clusters_ref = clusters_ref,\n",
    "                             \n",
    "                        group_name1 = sprintf(\"%s Tumor cells\", group_name1),\n",
    "                        group_name_ref = sprintf(\"%s Tumor cells\", group_name_ref),\n",
    "                        col_cluster_types = col_cluster_types_,\n",
    "                        col_cell_types = col_cell_types_,\n",
    "                        th_log2fc = th_log2fc_,\n",
    "                        th_padj = th_padj_, \n",
    "                        min.pct = min.pct_,\n",
    "                        min.diff.pct = min.diff.pct_,\n",
    "                        max.cells.per.ident = max.cells.per.ident_,\n",
    "                        method_dge = method_dge)\n",
    "\n",
    "str_condition_tmp <- sprintf(\"%s_%s_vs_%s_Tumor cells\",\n",
    "                             str_condition,\n",
    "                             group_name_ref, group_name1)\n",
    "\n",
    "if (type_condition != \"none\") {\n",
    "          str_condition_tmp <- sprintf(\"%s_%s\", str_condition_tmp, type_condition)\n",
    "}\n",
    "\n",
    "list_ea <- execute_enrichment_analysis(list_markers$markers,\n",
    "                        str_condition_tmp,\n",
    "                        th_log2fc = th_log2fc_,\n",
    "                        th_padj = th_padj_,\n",
    "                        method_dge = method_dge,\n",
    "                        dir_xlsx = dir_xlsx,       \n",
    "                        n_log = 1)\n",
    "\n",
    "\n",
    "genes_up <- rownames(list_ea$df_up)\n",
    "genes_dn <- rownames(list_ea$df_dn)\n",
    "list_genes_dn[[\"Epi\"]] <- genes_dn\n",
    "\n",
    "if (f_featureplot) {\n",
    "    gg <- featureplot_enrichment_analysis(rna,\n",
    "                list_ea,\n",
    "                str_condition_tmp)\n",
    "}\n",
    "\n",
    "list_out_heatmap <- heatmap_enrichment_analysis(list_markers,\n",
    "                    list_ea,\n",
    "                    str_condition_tmp,\n",
    "                    pattern_gene_removal=\"^MT-|^RPS|^RPL\",\n",
    "                    max_up=5, max_dn=5,\n",
    "                    n_sampling=n_sampling,\n",
    "                    cluster_rows=cluster_rows)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8462efd6",
   "metadata": {},
   "source": [
    "## cluster 2 vs. cluster 12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "381aa0a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# tumor pairs with large differences\n",
    "\n",
    "sample1 <- NULL\n",
    "sample_ref <- NULL\n",
    "\n",
    "th_log2fc_=0.25; th_padj_=0.01\n",
    "min.pct_=0.25; min.diff.pct_=-Inf; max.cells.per.ident_=Inf\n",
    "\n",
    "f_featureplot=FALSE\n",
    "n_sampling=-1\n",
    "cluster_rows=FALSE\n",
    "\n",
    "pattern_sample1 <- \"Tamoxifen\"\n",
    "pattern_sample_ref <- \"Tamoxifen\"\n",
    "\n",
    "drug_name <- \"tamoxifen\"\n",
    "\n",
    "#clusters1 <- c(3)  # 2 vs. 3 LumA, n=865\n",
    "clusters1 <- c(12)  # 2 vs. 12 LumA, n=345\n",
    "#clusters1 <- c(3,12)  # 2 vs. (3+12) LumA, n=1210\n",
    "#clusters1 <- c(19)  # 2 vs. 19 LumB, n=100\n",
    "\n",
    "clusters_ref <- c(2) # reponsive, n=2100\n",
    "\n",
    "group_name1 <- sprintf(\"cluster%s\", paste(clusters1, collapse=\",\"))\n",
    "group_name_ref <- sprintf(\"cluster%s\", paste(clusters_ref, collapse=\",\"))\n",
    "\n",
    "col_cluster_types_ <- NULL\n",
    "col_cell_types_ <- \"cell.type\"\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d20679b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "drug_name=tamoxifen\n",
      "pattern_sample1=Tamoxifen\n",
      "pattern_sample_ref=Tamoxifen\n",
      "\t\tgroup_name1=cluster12\n",
      "\t\tgroup_name_ref=cluster2\n",
      "\t\tcol_cell_types_=cell.type\n",
      "\t\tth_log2fc=0.25\n",
      "\t\tth_padj=0.01\n",
      "\t\tmin.pct=0.25\n",
      "\t\tmin.diff.pct=-Inf\n",
      "\t\tmax.cells.per.ident=Inf\n",
      "\t\tmethod_dge=seurat_findmarkers_enricher\n",
      "\t\ttype_condition=none\n",
      "\t\tgenes=\n"
     ]
    }
   ],
   "source": [
    "\n",
    "cat(sprintf(\"sample1=%s\\n\", sample1))\n",
    "cat(sprintf(\"sample_ref=%s\\n\", sample_ref))\n",
    "\n",
    "cat(sprintf(\"drug_name=%s\\n\", drug_name))\n",
    "cat(sprintf(\"pattern_sample1=%s\\n\", pattern_sample1))\n",
    "cat(sprintf(\"pattern_sample_ref=%s\\n\", pattern_sample_ref))\n",
    "\n",
    "    cat(sprintf(\"\\t\\tgroup_name1=%s\\n\", group_name1))\n",
    "    cat(sprintf(\"\\t\\tgroup_name_ref=%s\\n\", group_name_ref))\n",
    "    cat(sprintf(\"\\t\\tcol_cluster_types_=%s\\n\", col_cluster_types_))\n",
    "    cat(sprintf(\"\\t\\tcol_cell_types_=%s\\n\", col_cell_types_))\n",
    "\n",
    "    cat(sprintf(\"\\t\\tth_log2fc=%g\\n\", th_log2fc_))\n",
    "    cat(sprintf(\"\\t\\tth_padj=%g\\n\", th_padj_))\n",
    "    cat(sprintf(\"\\t\\tmin.pct=%g\\n\", min.pct_))\n",
    "    cat(sprintf(\"\\t\\tmin.diff.pct=%g\\n\", min.diff.pct_))\n",
    "    cat(sprintf(\"\\t\\tmax.cells.per.ident=%g\\n\", max.cells.per.ident_))\n",
    "    cat(sprintf(\"\\t\\tmethod_dge=%s\\n\", method_dge))\n",
    "\n",
    "    cat(sprintf(\"\\t\\ttype_condition=%s\\n\", type_condition))\n",
    "    cat(sprintf(\"\\t\\tgenes=%s\\n\", paste(genes, collapse=\", \")))\n",
    "    cat(sprintf(\"\\t\\tstr_cond1=%s\\n\", str_cond1))\n",
    "    cat(sprintf(\"\\t\\tstr_cond_ref=%s\\n\", str_cond_ref))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a43c94c6",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "seurat_findmarkers_enricher<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;col_log2fc=avg_log2FC<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;col_pvalue=p_val<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;col_padj=p_val_adj<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;th_log2fc=0.25<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;th_padj=0.01<br>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "df_up"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>p_val</th><th scope=col>avg_log2FC</th><th scope=col>pct.1</th><th scope=col>pct.2</th><th scope=col>p_val_adj</th><th scope=col>expr_min</th><th scope=col>expr_mean</th><th scope=col>expr_max</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>ATP5MC3</th><td>2.232368e-160</td><td>1.2140738</td><td>1.000</td><td>0.940</td><td>5.425993e-156</td><td> 1.14483079</td><td>2.1040055</td><td>2.858964</td></tr>\n",
       "\t<tr><th scope=row>MYL6</th><td>5.184565e-160</td><td>1.2595958</td><td>1.000</td><td>1.000</td><td>1.260160e-155</td><td> 2.65452665</td><td>3.3894687</td><td>4.065704</td></tr>\n",
       "\t<tr><th scope=row>ACTB</th><td>3.137859e-158</td><td>1.7657372</td><td>1.000</td><td>0.977</td><td>7.626881e-154</td><td> 1.63721004</td><td>3.1361429</td><td>4.101061</td></tr>\n",
       "\t<tr><th scope=row>DYNLL1</th><td>7.563499e-155</td><td>1.4572730</td><td>1.000</td><td>0.901</td><td>1.838384e-150</td><td> 0.96466962</td><td>2.2702212</td><td>3.064603</td></tr>\n",
       "\t<tr><th scope=row>LY6E</th><td>2.986751e-149</td><td>0.6825340</td><td>0.885</td><td>0.215</td><td>7.259597e-145</td><td>-0.06104762</td><td>0.5456860</td><td>1.474264</td></tr>\n",
       "\t<tr><th scope=row>PKIB</th><td>3.513621e-147</td><td>0.3459165</td><td>0.578</td><td>0.034</td><td>8.540207e-143</td><td>-0.16434295</td><td>0.2168596</td><td>1.452402</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 8\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & p\\_val & avg\\_log2FC & pct.1 & pct.2 & p\\_val\\_adj & expr\\_min & expr\\_mean & expr\\_max\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tATP5MC3 & 2.232368e-160 & 1.2140738 & 1.000 & 0.940 & 5.425993e-156 &  1.14483079 & 2.1040055 & 2.858964\\\\\n",
       "\tMYL6 & 5.184565e-160 & 1.2595958 & 1.000 & 1.000 & 1.260160e-155 &  2.65452665 & 3.3894687 & 4.065704\\\\\n",
       "\tACTB & 3.137859e-158 & 1.7657372 & 1.000 & 0.977 & 7.626881e-154 &  1.63721004 & 3.1361429 & 4.101061\\\\\n",
       "\tDYNLL1 & 7.563499e-155 & 1.4572730 & 1.000 & 0.901 & 1.838384e-150 &  0.96466962 & 2.2702212 & 3.064603\\\\\n",
       "\tLY6E & 2.986751e-149 & 0.6825340 & 0.885 & 0.215 & 7.259597e-145 & -0.06104762 & 0.5456860 & 1.474264\\\\\n",
       "\tPKIB & 3.513621e-147 & 0.3459165 & 0.578 & 0.034 & 8.540207e-143 & -0.16434295 & 0.2168596 & 1.452402\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 8\n",
       "\n",
       "| <!--/--> | p_val &lt;dbl&gt; | avg_log2FC &lt;dbl&gt; | pct.1 &lt;dbl&gt; | pct.2 &lt;dbl&gt; | p_val_adj &lt;dbl&gt; | expr_min &lt;dbl&gt; | expr_mean &lt;dbl&gt; | expr_max &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| ATP5MC3 | 2.232368e-160 | 1.2140738 | 1.000 | 0.940 | 5.425993e-156 |  1.14483079 | 2.1040055 | 2.858964 |\n",
       "| MYL6 | 5.184565e-160 | 1.2595958 | 1.000 | 1.000 | 1.260160e-155 |  2.65452665 | 3.3894687 | 4.065704 |\n",
       "| ACTB | 3.137859e-158 | 1.7657372 | 1.000 | 0.977 | 7.626881e-154 |  1.63721004 | 3.1361429 | 4.101061 |\n",
       "| DYNLL1 | 7.563499e-155 | 1.4572730 | 1.000 | 0.901 | 1.838384e-150 |  0.96466962 | 2.2702212 | 3.064603 |\n",
       "| LY6E | 2.986751e-149 | 0.6825340 | 0.885 | 0.215 | 7.259597e-145 | -0.06104762 | 0.5456860 | 1.474264 |\n",
       "| PKIB | 3.513621e-147 | 0.3459165 | 0.578 | 0.034 | 8.540207e-143 | -0.16434295 | 0.2168596 | 1.452402 |\n",
       "\n"
      ],
      "text/plain": [
       "        p_val         avg_log2FC pct.1 pct.2 p_val_adj     expr_min   \n",
       "ATP5MC3 2.232368e-160 1.2140738  1.000 0.940 5.425993e-156  1.14483079\n",
       "MYL6    5.184565e-160 1.2595958  1.000 1.000 1.260160e-155  2.65452665\n",
       "ACTB    3.137859e-158 1.7657372  1.000 0.977 7.626881e-154  1.63721004\n",
       "DYNLL1  7.563499e-155 1.4572730  1.000 0.901 1.838384e-150  0.96466962\n",
       "LY6E    2.986751e-149 0.6825340  0.885 0.215 7.259597e-145 -0.06104762\n",
       "PKIB    3.513621e-147 0.3459165  0.578 0.034 8.540207e-143 -0.16434295\n",
       "        expr_mean expr_max\n",
       "ATP5MC3 2.1040055 2.858964\n",
       "MYL6    3.3894687 4.065704\n",
       "ACTB    3.1361429 4.101061\n",
       "DYNLL1  2.2702212 3.064603\n",
       "LY6E    0.5456860 1.474264\n",
       "PKIB    0.2168596 1.452402"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>531</li><li>8</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 531\n",
       "\\item 8\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 531\n",
       "2. 8\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 531   8"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "df_dn"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>p_val</th><th scope=col>avg_log2FC</th><th scope=col>pct.1</th><th scope=col>pct.2</th><th scope=col>p_val_adj</th><th scope=col>expr_min</th><th scope=col>expr_mean</th><th scope=col>expr_max</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>SLC3A2</th><td>9.713929e-183</td><td>-2.272678</td><td>0.997</td><td>1.000</td><td>2.361068e-178</td><td>0</td><td>1.5293648</td><td>3.180158</td></tr>\n",
       "\t<tr><th scope=row>NUPR1</th><td>5.653467e-175</td><td>-2.134931</td><td>0.652</td><td>1.000</td><td>1.374132e-170</td><td>0</td><td>1.2106824</td><td>3.367310</td></tr>\n",
       "\t<tr><th scope=row>HSPA5</th><td>6.182296e-173</td><td>-2.493555</td><td>0.991</td><td>0.998</td><td>1.502669e-168</td><td>0</td><td>1.0624772</td><td>3.198018</td></tr>\n",
       "\t<tr><th scope=row>DDIT3</th><td>2.407137e-166</td><td>-2.582003</td><td>0.676</td><td>0.976</td><td>5.850788e-162</td><td>0</td><td>0.4161904</td><td>1.635127</td></tr>\n",
       "\t<tr><th scope=row>HERPUD1</th><td>5.149551e-164</td><td>-2.053970</td><td>0.428</td><td>0.970</td><td>1.251650e-159</td><td>0</td><td>0.2625473</td><td>2.032582</td></tr>\n",
       "\t<tr><th scope=row>MTRNR2L8</th><td>6.341356e-157</td><td>-2.224923</td><td>0.469</td><td>1.000</td><td>1.541330e-152</td><td>0</td><td>0.9506590</td><td>3.273059</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 8\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & p\\_val & avg\\_log2FC & pct.1 & pct.2 & p\\_val\\_adj & expr\\_min & expr\\_mean & expr\\_max\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tSLC3A2 & 9.713929e-183 & -2.272678 & 0.997 & 1.000 & 2.361068e-178 & 0 & 1.5293648 & 3.180158\\\\\n",
       "\tNUPR1 & 5.653467e-175 & -2.134931 & 0.652 & 1.000 & 1.374132e-170 & 0 & 1.2106824 & 3.367310\\\\\n",
       "\tHSPA5 & 6.182296e-173 & -2.493555 & 0.991 & 0.998 & 1.502669e-168 & 0 & 1.0624772 & 3.198018\\\\\n",
       "\tDDIT3 & 2.407137e-166 & -2.582003 & 0.676 & 0.976 & 5.850788e-162 & 0 & 0.4161904 & 1.635127\\\\\n",
       "\tHERPUD1 & 5.149551e-164 & -2.053970 & 0.428 & 0.970 & 1.251650e-159 & 0 & 0.2625473 & 2.032582\\\\\n",
       "\tMTRNR2L8 & 6.341356e-157 & -2.224923 & 0.469 & 1.000 & 1.541330e-152 & 0 & 0.9506590 & 3.273059\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 8\n",
       "\n",
       "| <!--/--> | p_val &lt;dbl&gt; | avg_log2FC &lt;dbl&gt; | pct.1 &lt;dbl&gt; | pct.2 &lt;dbl&gt; | p_val_adj &lt;dbl&gt; | expr_min &lt;dbl&gt; | expr_mean &lt;dbl&gt; | expr_max &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| SLC3A2 | 9.713929e-183 | -2.272678 | 0.997 | 1.000 | 2.361068e-178 | 0 | 1.5293648 | 3.180158 |\n",
       "| NUPR1 | 5.653467e-175 | -2.134931 | 0.652 | 1.000 | 1.374132e-170 | 0 | 1.2106824 | 3.367310 |\n",
       "| HSPA5 | 6.182296e-173 | -2.493555 | 0.991 | 0.998 | 1.502669e-168 | 0 | 1.0624772 | 3.198018 |\n",
       "| DDIT3 | 2.407137e-166 | -2.582003 | 0.676 | 0.976 | 5.850788e-162 | 0 | 0.4161904 | 1.635127 |\n",
       "| HERPUD1 | 5.149551e-164 | -2.053970 | 0.428 | 0.970 | 1.251650e-159 | 0 | 0.2625473 | 2.032582 |\n",
       "| MTRNR2L8 | 6.341356e-157 | -2.224923 | 0.469 | 1.000 | 1.541330e-152 | 0 | 0.9506590 | 3.273059 |\n",
       "\n"
      ],
      "text/plain": [
       "         p_val         avg_log2FC pct.1 pct.2 p_val_adj     expr_min expr_mean\n",
       "SLC3A2   9.713929e-183 -2.272678  0.997 1.000 2.361068e-178 0        1.5293648\n",
       "NUPR1    5.653467e-175 -2.134931  0.652 1.000 1.374132e-170 0        1.2106824\n",
       "HSPA5    6.182296e-173 -2.493555  0.991 0.998 1.502669e-168 0        1.0624772\n",
       "DDIT3    2.407137e-166 -2.582003  0.676 0.976 5.850788e-162 0        0.4161904\n",
       "HERPUD1  5.149551e-164 -2.053970  0.428 0.970 1.251650e-159 0        0.2625473\n",
       "MTRNR2L8 6.341356e-157 -2.224923  0.469 1.000 1.541330e-152 0        0.9506590\n",
       "         expr_max\n",
       "SLC3A2   3.180158\n",
       "NUPR1    3.367310\n",
       "HSPA5    3.198018\n",
       "DDIT3    1.635127\n",
       "HERPUD1  2.032582\n",
       "MTRNR2L8 3.273059"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
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       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>909</li><li>8</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 909\n",
       "\\item 8\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 909\n",
       "2. 8\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 909   8"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<hr style=\"height:1px\">"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "up h"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 3 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>HALLMARK_OXIDATIVE_PHOSPHORYLATION</th><td>HALLMARK_OXIDATIVE_PHOSPHORYLATION</td><td>HALLMARK_OXIDATIVE_PHOSPHORYLATION</td><td>49/265</td><td>200/4386</td><td>1.516489e-18</td><td>7.582444e-17</td><td>6.704476e-17</td><td>NDUFA4/NDUFV2/ATP6V0E1/LDHA/COX6B1/NDUFC2/NDUFB3/NDUFAB1/NDUFS6/NDUFB4/TIMM8B/COX5A/UQCR10/COX6C/UQCRH/NDUFB7/COX7A2/UQCRQ/COX5B/COX6A1/CYB5A/NDUFA2/NDUFB6/ATP1B1/COX7C/NDUFB2/MGST3/NDUFB1/UQCR11/COX7B/LDHB/NDUFA3/NDUFC1/NDUFA8/VDAC3/SDHC/NDUFB8/COX4I1/ETFB/POLR2F/SLC25A5/HSD17B10/COX8A/UQCRB/MRPL34/MDH2/ECHS1/ATP6V1F/TIMM13</td><td>49</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MYC_TARGETS_V1</th><td>HALLMARK_MYC_TARGETS_V1           </td><td>HALLMARK_MYC_TARGETS_V1           </td><td>37/265</td><td>200/4386</td><td>3.274942e-10</td><td>8.187356e-09</td><td>7.239346e-09</td><td>LDHA/HSPE1/PSMB3/NDUFAB1/NME1/SNRPD3/PSMA7/COX5A/PPIA/SRSF2/SSBP1/RAN/PSMB2/UBE2L3/SRSF7/LSM2/SRSF3/PHB/SNRPD1/NHP2/PSMA4/CCT3/PSMA2/RANBP1/SNRPG/PGK1/VDAC3/CCT2/PSMA1/C1QBP/SNRPD2/ERH/SRPK1/HNRNPA2B1/LSM7/SET/CBX3                                                                                                                </td><td>37</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_GLYCOLYSIS</th><td>HALLMARK_GLYCOLYSIS               </td><td>HALLMARK_GLYCOLYSIS               </td><td>24/265</td><td>200/4386</td><td>8.214221e-04</td><td>1.369037e-02</td><td>1.210517e-02</td><td>LDHA/TXN/TPI1/STC1/MIF/PPIA/CYB5A/FKBP4/IGFBP3/PGK1/SDHC/TSTA3/TALDO1/ENO1/PGLS/SRD5A3/PLOD2/EGLN3/GLRX/PGAM1/MDH2/CLDN3/POLR3K/TFF3                                                                                                                                                                                                  </td><td>24</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 3 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tHALLMARK\\_OXIDATIVE\\_PHOSPHORYLATION & HALLMARK\\_OXIDATIVE\\_PHOSPHORYLATION & HALLMARK\\_OXIDATIVE\\_PHOSPHORYLATION & 49/265 & 200/4386 & 1.516489e-18 & 7.582444e-17 & 6.704476e-17 & NDUFA4/NDUFV2/ATP6V0E1/LDHA/COX6B1/NDUFC2/NDUFB3/NDUFAB1/NDUFS6/NDUFB4/TIMM8B/COX5A/UQCR10/COX6C/UQCRH/NDUFB7/COX7A2/UQCRQ/COX5B/COX6A1/CYB5A/NDUFA2/NDUFB6/ATP1B1/COX7C/NDUFB2/MGST3/NDUFB1/UQCR11/COX7B/LDHB/NDUFA3/NDUFC1/NDUFA8/VDAC3/SDHC/NDUFB8/COX4I1/ETFB/POLR2F/SLC25A5/HSD17B10/COX8A/UQCRB/MRPL34/MDH2/ECHS1/ATP6V1F/TIMM13 & 49\\\\\n",
       "\tHALLMARK\\_MYC\\_TARGETS\\_V1 & HALLMARK\\_MYC\\_TARGETS\\_V1            & HALLMARK\\_MYC\\_TARGETS\\_V1            & 37/265 & 200/4386 & 3.274942e-10 & 8.187356e-09 & 7.239346e-09 & LDHA/HSPE1/PSMB3/NDUFAB1/NME1/SNRPD3/PSMA7/COX5A/PPIA/SRSF2/SSBP1/RAN/PSMB2/UBE2L3/SRSF7/LSM2/SRSF3/PHB/SNRPD1/NHP2/PSMA4/CCT3/PSMA2/RANBP1/SNRPG/PGK1/VDAC3/CCT2/PSMA1/C1QBP/SNRPD2/ERH/SRPK1/HNRNPA2B1/LSM7/SET/CBX3                                                                                                                 & 37\\\\\n",
       "\tHALLMARK\\_GLYCOLYSIS & HALLMARK\\_GLYCOLYSIS                & HALLMARK\\_GLYCOLYSIS                & 24/265 & 200/4386 & 8.214221e-04 & 1.369037e-02 & 1.210517e-02 & LDHA/TXN/TPI1/STC1/MIF/PPIA/CYB5A/FKBP4/IGFBP3/PGK1/SDHC/TSTA3/TALDO1/ENO1/PGLS/SRD5A3/PLOD2/EGLN3/GLRX/PGAM1/MDH2/CLDN3/POLR3K/TFF3                                                                                                                                                                                                   & 24\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 3 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| HALLMARK_OXIDATIVE_PHOSPHORYLATION | HALLMARK_OXIDATIVE_PHOSPHORYLATION | HALLMARK_OXIDATIVE_PHOSPHORYLATION | 49/265 | 200/4386 | 1.516489e-18 | 7.582444e-17 | 6.704476e-17 | NDUFA4/NDUFV2/ATP6V0E1/LDHA/COX6B1/NDUFC2/NDUFB3/NDUFAB1/NDUFS6/NDUFB4/TIMM8B/COX5A/UQCR10/COX6C/UQCRH/NDUFB7/COX7A2/UQCRQ/COX5B/COX6A1/CYB5A/NDUFA2/NDUFB6/ATP1B1/COX7C/NDUFB2/MGST3/NDUFB1/UQCR11/COX7B/LDHB/NDUFA3/NDUFC1/NDUFA8/VDAC3/SDHC/NDUFB8/COX4I1/ETFB/POLR2F/SLC25A5/HSD17B10/COX8A/UQCRB/MRPL34/MDH2/ECHS1/ATP6V1F/TIMM13 | 49 |\n",
       "| HALLMARK_MYC_TARGETS_V1 | HALLMARK_MYC_TARGETS_V1            | HALLMARK_MYC_TARGETS_V1            | 37/265 | 200/4386 | 3.274942e-10 | 8.187356e-09 | 7.239346e-09 | LDHA/HSPE1/PSMB3/NDUFAB1/NME1/SNRPD3/PSMA7/COX5A/PPIA/SRSF2/SSBP1/RAN/PSMB2/UBE2L3/SRSF7/LSM2/SRSF3/PHB/SNRPD1/NHP2/PSMA4/CCT3/PSMA2/RANBP1/SNRPG/PGK1/VDAC3/CCT2/PSMA1/C1QBP/SNRPD2/ERH/SRPK1/HNRNPA2B1/LSM7/SET/CBX3                                                                                                                 | 37 |\n",
       "| HALLMARK_GLYCOLYSIS | HALLMARK_GLYCOLYSIS                | HALLMARK_GLYCOLYSIS                | 24/265 | 200/4386 | 8.214221e-04 | 1.369037e-02 | 1.210517e-02 | LDHA/TXN/TPI1/STC1/MIF/PPIA/CYB5A/FKBP4/IGFBP3/PGK1/SDHC/TSTA3/TALDO1/ENO1/PGLS/SRD5A3/PLOD2/EGLN3/GLRX/PGAM1/MDH2/CLDN3/POLR3K/TFF3                                                                                                                                                                                                   | 24 |\n",
       "\n"
      ],
      "text/plain": [
       "                                   ID                                \n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION HALLMARK_OXIDATIVE_PHOSPHORYLATION\n",
       "HALLMARK_MYC_TARGETS_V1            HALLMARK_MYC_TARGETS_V1           \n",
       "HALLMARK_GLYCOLYSIS                HALLMARK_GLYCOLYSIS               \n",
       "                                   Description                        GeneRatio\n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION HALLMARK_OXIDATIVE_PHOSPHORYLATION 49/265   \n",
       "HALLMARK_MYC_TARGETS_V1            HALLMARK_MYC_TARGETS_V1            37/265   \n",
       "HALLMARK_GLYCOLYSIS                HALLMARK_GLYCOLYSIS                24/265   \n",
       "                                   BgRatio  pvalue       p.adjust    \n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION 200/4386 1.516489e-18 7.582444e-17\n",
       "HALLMARK_MYC_TARGETS_V1            200/4386 3.274942e-10 8.187356e-09\n",
       "HALLMARK_GLYCOLYSIS                200/4386 8.214221e-04 1.369037e-02\n",
       "                                   qvalue      \n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION 6.704476e-17\n",
       "HALLMARK_MYC_TARGETS_V1            7.239346e-09\n",
       "HALLMARK_GLYCOLYSIS                1.210517e-02\n",
       "                                   geneID                                                                                                                                                                                                                                                                                                                                \n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION NDUFA4/NDUFV2/ATP6V0E1/LDHA/COX6B1/NDUFC2/NDUFB3/NDUFAB1/NDUFS6/NDUFB4/TIMM8B/COX5A/UQCR10/COX6C/UQCRH/NDUFB7/COX7A2/UQCRQ/COX5B/COX6A1/CYB5A/NDUFA2/NDUFB6/ATP1B1/COX7C/NDUFB2/MGST3/NDUFB1/UQCR11/COX7B/LDHB/NDUFA3/NDUFC1/NDUFA8/VDAC3/SDHC/NDUFB8/COX4I1/ETFB/POLR2F/SLC25A5/HSD17B10/COX8A/UQCRB/MRPL34/MDH2/ECHS1/ATP6V1F/TIMM13\n",
       "HALLMARK_MYC_TARGETS_V1            LDHA/HSPE1/PSMB3/NDUFAB1/NME1/SNRPD3/PSMA7/COX5A/PPIA/SRSF2/SSBP1/RAN/PSMB2/UBE2L3/SRSF7/LSM2/SRSF3/PHB/SNRPD1/NHP2/PSMA4/CCT3/PSMA2/RANBP1/SNRPG/PGK1/VDAC3/CCT2/PSMA1/C1QBP/SNRPD2/ERH/SRPK1/HNRNPA2B1/LSM7/SET/CBX3                                                                                                                \n",
       "HALLMARK_GLYCOLYSIS                LDHA/TXN/TPI1/STC1/MIF/PPIA/CYB5A/FKBP4/IGFBP3/PGK1/SDHC/TSTA3/TALDO1/ENO1/PGLS/SRD5A3/PLOD2/EGLN3/GLRX/PGAM1/MDH2/CLDN3/POLR3K/TFF3                                                                                                                                                                                                  \n",
       "                                   Count\n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION 49   \n",
       "HALLMARK_MYC_TARGETS_V1            37   \n",
       "HALLMARK_GLYCOLYSIS                24   "
      ]
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       "<ol class=list-inline><li>3</li><li>9</li></ol>\n"
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       "\\begin{enumerate*}\n",
       "\\item 3\n",
       "\\item 9\n",
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       "1. 3\n",
       "2. 9\n",
       "\n",
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       "[1] 3 9"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>T47D_control_vs_tamoxifen_down_Tumor cells</th><td>T47D_control_vs_tamoxifen_down_Tumor cells                           </td><td>T47D_control_vs_tamoxifen_down_Tumor cells                           </td><td>36/510</td><td>107/19993</td><td>9.375318e-31</td><td>3.412616e-28</td><td>2.417845e-28</td><td>ATP5MC3/DYNLL1/JPT1/KRT19/LDHA/MARCKSL1/NDUFC2/HSP90AA1/REEP5/SRSF7/FKBP4/CCT3/PSMA2/TUBB4B/SLC40A1/NDUFA8/VDAC3/TMBIM4/NDUFB8/CCT2/TRPS1/ENO1/SFPQ/SNRPB/ERH/ARL3/HNRNPM/TSFM/ID1/MRPL13/CALM2/HNRNPA2B1/RUNX1/CALM3/GOLM1/MRPL22                 </td><td>36</td></tr>\n",
       "\t<tr><th scope=row>MITO1_BMC.Med.Genomics.2011_PMID.21214954</th><td>MITO1_BMC.Med.Genomics.2011_PMID.21214954                            </td><td>MITO1_BMC.Med.Genomics.2011_PMID.21214954                            </td><td>20/510</td><td>38/19993 </td><td>2.066916e-22</td><td>3.761788e-20</td><td>2.665234e-20</td><td>DYNLL1/POMP/TXN/GEMIN6/TIMM8B/TMA7/COX7A2/UQCRQ/COX5B/COX6A1/COX7C/NDUFB2/NDUFB1/UQCR11/LSM5/SEM1/NDUFC1/ORMDL2/COX8A/MRPL22                                                                                                                       </td><td>20</td></tr>\n",
       "\t<tr><th scope=row>GATA3.induced.genes_JCO.2006_PMID.16505416</th><td>GATA3.induced.genes_JCO.2006_PMID.16505416                           </td><td>GATA3.induced.genes_JCO.2006_PMID.16505416                           </td><td>39/510</td><td>277/19993</td><td>3.475322e-18</td><td>4.216724e-16</td><td>2.987558e-16</td><td>KRT19/KRT8/S100A11/CD24/VAMP8/TACSTD2/HSPB1/KRT18/GATA3/CD9/CITED4/TSPAN15/FXYD3/ATP1B1/SMIM22/KRT7/ADIRF/CALM1/SLC9A3R1/CYP1B1/TMC5/NDUFB9/BATF/TM4SF1/XBP1/OCIAD2/MYOF/SQOR/S100A16/RER1/ID1/MRPL13/CLDN3/TMEM165/S100A6/TFF3/LGALS1/STARD10/AQP3</td><td>39</td></tr>\n",
       "\t<tr><th scope=row>MITO2_BMC.Med.Genomics.2011_PMID.21214954</th><td>MITO2_BMC.Med.Genomics.2011_PMID.21214954                            </td><td>MITO2_BMC.Med.Genomics.2011_PMID.21214954                            </td><td>19/510</td><td>78/19993 </td><td>6.384692e-14</td><td>5.810070e-12</td><td>4.116446e-12</td><td>NDUFA4/HSPE1/GTF2A2/ARPC3/NDUFB3/NDUFAB1/UBL5/NDUFB6/PIGF/LAMTOR5/COX7B/TMEM14B/PSMA2/SNRPG/FKBP3/LSM3/PSMA3/PSMA5/RPA3                                                                                                                            </td><td>19</td></tr>\n",
       "\t<tr><th scope=row>GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC</th><td>GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC</td><td>GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC</td><td>31/510</td><td>319/19993</td><td>2.044951e-10</td><td>1.488724e-08</td><td>1.054764e-08</td><td>DYNLL1/HSP90AA1/SKP1/PSMB3/PSMA7/PSMB1/HDAC1/CCND1/PSMB5/PSMB2/PSMB7/UBA52/RPS27A/PSMB8/ANAPC11/TUBB/PSMA4/PSMA2/TUBB4B/PSMB6/PSMA1/PSME2/PSMD2/PSMA3/PSMC1/SSNA1/PSMA5/RPA3/PSMC3/TUBA1A/PSME1                                                    </td><td>31</td></tr>\n",
       "\t<tr><th scope=row>Claudin_Low_Genome.Biol.2007_PMID.17493263</th><td>Claudin_Low_Genome.Biol.2007_PMID.17493263                           </td><td>Claudin_Low_Genome.Biol.2007_PMID.17493263                           </td><td>26/510</td><td>244/19993</td><td>8.463813e-10</td><td>5.134713e-08</td><td>3.637955e-08</td><td>PKIB/KRT19/HSPE1/TACSTD2/KRT18/GATA3/MIF/CD9/MUC1/FXYD3/FKBP4/PBX1/EFHD1/EMP2/PAFAH1B3/EPPK1/TRPS1/RAB25/KRTCAP3/POLR2H/TMEM54/CLDN3/GOLM1/CTTN/STARD10/GPRC5A                                                                                     </td><td>26</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tT47D\\_control\\_vs\\_tamoxifen\\_down\\_Tumor cells & T47D\\_control\\_vs\\_tamoxifen\\_down\\_Tumor cells                            & T47D\\_control\\_vs\\_tamoxifen\\_down\\_Tumor cells                            & 36/510 & 107/19993 & 9.375318e-31 & 3.412616e-28 & 2.417845e-28 & ATP5MC3/DYNLL1/JPT1/KRT19/LDHA/MARCKSL1/NDUFC2/HSP90AA1/REEP5/SRSF7/FKBP4/CCT3/PSMA2/TUBB4B/SLC40A1/NDUFA8/VDAC3/TMBIM4/NDUFB8/CCT2/TRPS1/ENO1/SFPQ/SNRPB/ERH/ARL3/HNRNPM/TSFM/ID1/MRPL13/CALM2/HNRNPA2B1/RUNX1/CALM3/GOLM1/MRPL22                  & 36\\\\\n",
       "\tMITO1\\_BMC.Med.Genomics.2011\\_PMID.21214954 & MITO1\\_BMC.Med.Genomics.2011\\_PMID.21214954                             & MITO1\\_BMC.Med.Genomics.2011\\_PMID.21214954                             & 20/510 & 38/19993  & 2.066916e-22 & 3.761788e-20 & 2.665234e-20 & DYNLL1/POMP/TXN/GEMIN6/TIMM8B/TMA7/COX7A2/UQCRQ/COX5B/COX6A1/COX7C/NDUFB2/NDUFB1/UQCR11/LSM5/SEM1/NDUFC1/ORMDL2/COX8A/MRPL22                                                                                                                        & 20\\\\\n",
       "\tGATA3.induced.genes\\_JCO.2006\\_PMID.16505416 & GATA3.induced.genes\\_JCO.2006\\_PMID.16505416                            & GATA3.induced.genes\\_JCO.2006\\_PMID.16505416                            & 39/510 & 277/19993 & 3.475322e-18 & 4.216724e-16 & 2.987558e-16 & KRT19/KRT8/S100A11/CD24/VAMP8/TACSTD2/HSPB1/KRT18/GATA3/CD9/CITED4/TSPAN15/FXYD3/ATP1B1/SMIM22/KRT7/ADIRF/CALM1/SLC9A3R1/CYP1B1/TMC5/NDUFB9/BATF/TM4SF1/XBP1/OCIAD2/MYOF/SQOR/S100A16/RER1/ID1/MRPL13/CLDN3/TMEM165/S100A6/TFF3/LGALS1/STARD10/AQP3 & 39\\\\\n",
       "\tMITO2\\_BMC.Med.Genomics.2011\\_PMID.21214954 & MITO2\\_BMC.Med.Genomics.2011\\_PMID.21214954                             & MITO2\\_BMC.Med.Genomics.2011\\_PMID.21214954                             & 19/510 & 78/19993  & 6.384692e-14 & 5.810070e-12 & 4.116446e-12 & NDUFA4/HSPE1/GTF2A2/ARPC3/NDUFB3/NDUFAB1/UBL5/NDUFB6/PIGF/LAMTOR5/COX7B/TMEM14B/PSMA2/SNRPG/FKBP3/LSM3/PSMA3/PSMA5/RPA3                                                                                                                             & 19\\\\\n",
       "\tGSEA\\_GP1\\_Proliferation\\_DNA\\_repair.r=0.972\\_REACTOME\\_CELL\\_CYCLE\\_MITOTIC & GSEA\\_GP1\\_Proliferation\\_DNA\\_repair.r=0.972\\_REACTOME\\_CELL\\_CYCLE\\_MITOTIC & GSEA\\_GP1\\_Proliferation\\_DNA\\_repair.r=0.972\\_REACTOME\\_CELL\\_CYCLE\\_MITOTIC & 31/510 & 319/19993 & 2.044951e-10 & 1.488724e-08 & 1.054764e-08 & DYNLL1/HSP90AA1/SKP1/PSMB3/PSMA7/PSMB1/HDAC1/CCND1/PSMB5/PSMB2/PSMB7/UBA52/RPS27A/PSMB8/ANAPC11/TUBB/PSMA4/PSMA2/TUBB4B/PSMB6/PSMA1/PSME2/PSMD2/PSMA3/PSMC1/SSNA1/PSMA5/RPA3/PSMC3/TUBA1A/PSME1                                                     & 31\\\\\n",
       "\tClaudin\\_Low\\_Genome.Biol.2007\\_PMID.17493263 & Claudin\\_Low\\_Genome.Biol.2007\\_PMID.17493263                            & Claudin\\_Low\\_Genome.Biol.2007\\_PMID.17493263                            & 26/510 & 244/19993 & 8.463813e-10 & 5.134713e-08 & 3.637955e-08 & PKIB/KRT19/HSPE1/TACSTD2/KRT18/GATA3/MIF/CD9/MUC1/FXYD3/FKBP4/PBX1/EFHD1/EMP2/PAFAH1B3/EPPK1/TRPS1/RAB25/KRTCAP3/POLR2H/TMEM54/CLDN3/GOLM1/CTTN/STARD10/GPRC5A                                                                                      & 26\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| T47D_control_vs_tamoxifen_down_Tumor cells | T47D_control_vs_tamoxifen_down_Tumor cells                            | T47D_control_vs_tamoxifen_down_Tumor cells                            | 36/510 | 107/19993 | 9.375318e-31 | 3.412616e-28 | 2.417845e-28 | ATP5MC3/DYNLL1/JPT1/KRT19/LDHA/MARCKSL1/NDUFC2/HSP90AA1/REEP5/SRSF7/FKBP4/CCT3/PSMA2/TUBB4B/SLC40A1/NDUFA8/VDAC3/TMBIM4/NDUFB8/CCT2/TRPS1/ENO1/SFPQ/SNRPB/ERH/ARL3/HNRNPM/TSFM/ID1/MRPL13/CALM2/HNRNPA2B1/RUNX1/CALM3/GOLM1/MRPL22                  | 36 |\n",
       "| MITO1_BMC.Med.Genomics.2011_PMID.21214954 | MITO1_BMC.Med.Genomics.2011_PMID.21214954                             | MITO1_BMC.Med.Genomics.2011_PMID.21214954                             | 20/510 | 38/19993  | 2.066916e-22 | 3.761788e-20 | 2.665234e-20 | DYNLL1/POMP/TXN/GEMIN6/TIMM8B/TMA7/COX7A2/UQCRQ/COX5B/COX6A1/COX7C/NDUFB2/NDUFB1/UQCR11/LSM5/SEM1/NDUFC1/ORMDL2/COX8A/MRPL22                                                                                                                        | 20 |\n",
       "| GATA3.induced.genes_JCO.2006_PMID.16505416 | GATA3.induced.genes_JCO.2006_PMID.16505416                            | GATA3.induced.genes_JCO.2006_PMID.16505416                            | 39/510 | 277/19993 | 3.475322e-18 | 4.216724e-16 | 2.987558e-16 | KRT19/KRT8/S100A11/CD24/VAMP8/TACSTD2/HSPB1/KRT18/GATA3/CD9/CITED4/TSPAN15/FXYD3/ATP1B1/SMIM22/KRT7/ADIRF/CALM1/SLC9A3R1/CYP1B1/TMC5/NDUFB9/BATF/TM4SF1/XBP1/OCIAD2/MYOF/SQOR/S100A16/RER1/ID1/MRPL13/CLDN3/TMEM165/S100A6/TFF3/LGALS1/STARD10/AQP3 | 39 |\n",
       "| MITO2_BMC.Med.Genomics.2011_PMID.21214954 | MITO2_BMC.Med.Genomics.2011_PMID.21214954                             | MITO2_BMC.Med.Genomics.2011_PMID.21214954                             | 19/510 | 78/19993  | 6.384692e-14 | 5.810070e-12 | 4.116446e-12 | NDUFA4/HSPE1/GTF2A2/ARPC3/NDUFB3/NDUFAB1/UBL5/NDUFB6/PIGF/LAMTOR5/COX7B/TMEM14B/PSMA2/SNRPG/FKBP3/LSM3/PSMA3/PSMA5/RPA3                                                                                                                             | 19 |\n",
       "| GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC | GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC | GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC | 31/510 | 319/19993 | 2.044951e-10 | 1.488724e-08 | 1.054764e-08 | DYNLL1/HSP90AA1/SKP1/PSMB3/PSMA7/PSMB1/HDAC1/CCND1/PSMB5/PSMB2/PSMB7/UBA52/RPS27A/PSMB8/ANAPC11/TUBB/PSMA4/PSMA2/TUBB4B/PSMB6/PSMA1/PSME2/PSMD2/PSMA3/PSMC1/SSNA1/PSMA5/RPA3/PSMC3/TUBA1A/PSME1                                                     | 31 |\n",
       "| Claudin_Low_Genome.Biol.2007_PMID.17493263 | Claudin_Low_Genome.Biol.2007_PMID.17493263                            | Claudin_Low_Genome.Biol.2007_PMID.17493263                            | 26/510 | 244/19993 | 8.463813e-10 | 5.134713e-08 | 3.637955e-08 | PKIB/KRT19/HSPE1/TACSTD2/KRT18/GATA3/MIF/CD9/MUC1/FXYD3/FKBP4/PBX1/EFHD1/EMP2/PAFAH1B3/EPPK1/TRPS1/RAB25/KRTCAP3/POLR2H/TMEM54/CLDN3/GOLM1/CTTN/STARD10/GPRC5A                                                                                      | 26 |\n",
       "\n"
      ],
      "text/plain": [
       "                                                                      ID                                                                   \n",
       "T47D_control_vs_tamoxifen_down_Tumor cells                            T47D_control_vs_tamoxifen_down_Tumor cells                           \n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954                             MITO1_BMC.Med.Genomics.2011_PMID.21214954                            \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                            GATA3.induced.genes_JCO.2006_PMID.16505416                           \n",
       "MITO2_BMC.Med.Genomics.2011_PMID.21214954                             MITO2_BMC.Med.Genomics.2011_PMID.21214954                            \n",
       "GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263                            Claudin_Low_Genome.Biol.2007_PMID.17493263                           \n",
       "                                                                      Description                                                          \n",
       "T47D_control_vs_tamoxifen_down_Tumor cells                            T47D_control_vs_tamoxifen_down_Tumor cells                           \n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954                             MITO1_BMC.Med.Genomics.2011_PMID.21214954                            \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                            GATA3.induced.genes_JCO.2006_PMID.16505416                           \n",
       "MITO2_BMC.Med.Genomics.2011_PMID.21214954                             MITO2_BMC.Med.Genomics.2011_PMID.21214954                            \n",
       "GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263                            Claudin_Low_Genome.Biol.2007_PMID.17493263                           \n",
       "                                                                      GeneRatio\n",
       "T47D_control_vs_tamoxifen_down_Tumor cells                            36/510   \n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954                             20/510   \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                            39/510   \n",
       "MITO2_BMC.Med.Genomics.2011_PMID.21214954                             19/510   \n",
       "GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC 31/510   \n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263                            26/510   \n",
       "                                                                      BgRatio  \n",
       "T47D_control_vs_tamoxifen_down_Tumor cells                            107/19993\n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954                             38/19993 \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                            277/19993\n",
       "MITO2_BMC.Med.Genomics.2011_PMID.21214954                             78/19993 \n",
       "GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC 319/19993\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263                            244/19993\n",
       "                                                                      pvalue      \n",
       "T47D_control_vs_tamoxifen_down_Tumor cells                            9.375318e-31\n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954                             2.066916e-22\n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                            3.475322e-18\n",
       "MITO2_BMC.Med.Genomics.2011_PMID.21214954                             6.384692e-14\n",
       "GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC 2.044951e-10\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263                            8.463813e-10\n",
       "                                                                      p.adjust    \n",
       "T47D_control_vs_tamoxifen_down_Tumor cells                            3.412616e-28\n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954                             3.761788e-20\n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                            4.216724e-16\n",
       "MITO2_BMC.Med.Genomics.2011_PMID.21214954                             5.810070e-12\n",
       "GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC 1.488724e-08\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263                            5.134713e-08\n",
       "                                                                      qvalue      \n",
       "T47D_control_vs_tamoxifen_down_Tumor cells                            2.417845e-28\n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954                             2.665234e-20\n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                            2.987558e-16\n",
       "MITO2_BMC.Med.Genomics.2011_PMID.21214954                             4.116446e-12\n",
       "GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC 1.054764e-08\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263                            3.637955e-08\n",
       "                                                                      geneID                                                                                                                                                                                                                                             \n",
       "T47D_control_vs_tamoxifen_down_Tumor cells                            ATP5MC3/DYNLL1/JPT1/KRT19/LDHA/MARCKSL1/NDUFC2/HSP90AA1/REEP5/SRSF7/FKBP4/CCT3/PSMA2/TUBB4B/SLC40A1/NDUFA8/VDAC3/TMBIM4/NDUFB8/CCT2/TRPS1/ENO1/SFPQ/SNRPB/ERH/ARL3/HNRNPM/TSFM/ID1/MRPL13/CALM2/HNRNPA2B1/RUNX1/CALM3/GOLM1/MRPL22                 \n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954                             DYNLL1/POMP/TXN/GEMIN6/TIMM8B/TMA7/COX7A2/UQCRQ/COX5B/COX6A1/COX7C/NDUFB2/NDUFB1/UQCR11/LSM5/SEM1/NDUFC1/ORMDL2/COX8A/MRPL22                                                                                                                       \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                            KRT19/KRT8/S100A11/CD24/VAMP8/TACSTD2/HSPB1/KRT18/GATA3/CD9/CITED4/TSPAN15/FXYD3/ATP1B1/SMIM22/KRT7/ADIRF/CALM1/SLC9A3R1/CYP1B1/TMC5/NDUFB9/BATF/TM4SF1/XBP1/OCIAD2/MYOF/SQOR/S100A16/RER1/ID1/MRPL13/CLDN3/TMEM165/S100A6/TFF3/LGALS1/STARD10/AQP3\n",
       "MITO2_BMC.Med.Genomics.2011_PMID.21214954                             NDUFA4/HSPE1/GTF2A2/ARPC3/NDUFB3/NDUFAB1/UBL5/NDUFB6/PIGF/LAMTOR5/COX7B/TMEM14B/PSMA2/SNRPG/FKBP3/LSM3/PSMA3/PSMA5/RPA3                                                                                                                            \n",
       "GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC DYNLL1/HSP90AA1/SKP1/PSMB3/PSMA7/PSMB1/HDAC1/CCND1/PSMB5/PSMB2/PSMB7/UBA52/RPS27A/PSMB8/ANAPC11/TUBB/PSMA4/PSMA2/TUBB4B/PSMB6/PSMA1/PSME2/PSMD2/PSMA3/PSMC1/SSNA1/PSMA5/RPA3/PSMC3/TUBA1A/PSME1                                                    \n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263                            PKIB/KRT19/HSPE1/TACSTD2/KRT18/GATA3/MIF/CD9/MUC1/FXYD3/FKBP4/PBX1/EFHD1/EMP2/PAFAH1B3/EPPK1/TRPS1/RAB25/KRTCAP3/POLR2H/TMEM54/CLDN3/GOLM1/CTTN/STARD10/GPRC5A                                                                                     \n",
       "                                                                      Count\n",
       "T47D_control_vs_tamoxifen_down_Tumor cells                            36   \n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954                             20   \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                            39   \n",
       "MITO2_BMC.Med.Genomics.2011_PMID.21214954                             19   \n",
       "GSEA_GP1_Proliferation_DNA_repair.r=0.972_REACTOME_CELL_CYCLE_MITOTIC 31   \n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263                            26   "
      ]
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       "</style>\n",
       "<ol class=list-inline><li>75</li><li>9</li></ol>\n"
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       "\\begin{enumerate*}\n",
       "\\item 75\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
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       "1. 75\n",
       "2. 9\n",
       "\n",
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       "[1] 75  9"
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       "down h"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>HALLMARK_UNFOLDED_PROTEIN_RESPONSE</th><td>HALLMARK_UNFOLDED_PROTEIN_RESPONSE</td><td>HALLMARK_UNFOLDED_PROTEIN_RESPONSE</td><td>44/316</td><td>113/4386</td><td>1.772890e-22</td><td>8.509872e-21</td><td>6.718320e-21</td><td>HSPA5/HERPUD1/HSP90B1/SERP1/ATF4/CEBPG/MTHFD2/DDX10/ATF3/ASNS/CALR/HSPA9/HYOU1/PDIA6/DNAJB9/VEGFA/DNAJC3/IARS/SRPRB/SLC1A4/SSR1/EIF4EBP1/WIPI1/EIF2AK3/SEC31A/TARS/CKS1B/CEBPB/TSPYL2/ERN1/DDIT4/FKBP14/PSAT1/EEF2/XPOT/EXOSC1/KIF5B/PDIA5/CHAC1/SPCS3/ATF6/PREB/STC2/EDEM1                                                         </td><td>44</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MTORC1_SIGNALING</th><td>HALLMARK_MTORC1_SIGNALING         </td><td>HALLMARK_MTORC1_SIGNALING         </td><td>53/316</td><td>200/4386</td><td>4.257120e-18</td><td>1.021709e-16</td><td>8.066122e-17</td><td>NUPR1/HSPA5/DDIT3/HSP90B1/SERP1/SQSTM1/TRIB3/MTHFD2/PHGDH/FAM129A/TCEA1/SDF2L1/CANX/ASNS/CALR/HSPA9/PPP1R15A/EIF2S2/SQLE/EPRS/GOT1/IDI1/SLC1A4/SSR1/HMGCR/UFM1/HMGCS1/FKBP2/IFRD1/RPN1/TXNRD1/SHMT2/SLC7A11/LDLR/SLC1A5/INSIG1/DDIT4/PSAT1/BHLHE40/RAB1A/GGA2/USO1/HSPD1/NAMPT/UBE2D3/CYP51A1/WARS/SLC2A1/YKT6/NFKBIB/EDEM1/GCLC/HK2</td><td>53</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_TNFA_SIGNALING_VIA_NFKB</th><td>HALLMARK_TNFA_SIGNALING_VIA_NFKB  </td><td>HALLMARK_TNFA_SIGNALING_VIA_NFKB  </td><td>42/316</td><td>200/4386</td><td>8.302605e-11</td><td>1.328417e-09</td><td>1.048750e-09</td><td>SQSTM1/EIF1/ATF3/PPP1R15A/GEM/BTG1/VEGFA/IRF1/CD44/JUN/DUSP1/KLF6/HBEGF/TSC22D1/CEBPB/LDLR/PNRC1/TRIB1/TGIF1/BHLHE40/RIPK2/MAFF/IRS2/REL/MXD1/SDC4/CCNL1/PHLDA2/NFKBIA/NFE2L2/KLF4/TNIP1/FOSL2/GADD45A/EFNA1/MYC/NAMPT/ZFP36/GADD45B/LITAF/IFIH1/PMEPA1                                                                             </td><td>42</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_PROTEIN_SECRETION</th><td>HALLMARK_PROTEIN_SECRETION        </td><td>HALLMARK_PROTEIN_SECRETION        </td><td>26/316</td><td>96/4386 </td><td>1.455209e-09</td><td>1.746251e-08</td><td>1.378619e-08</td><td>LMAN1/ARFGAP3/COPE/ARF1/GOLGA4/SEC24D/RAB5A/SEC31A/ARCN1/TMED10/COPB2/DST/RAB9A/TPD52/ICA1/NAPA/USO1/COPB1/SEC22B/TMED2/BET1/RAB22A/VPS4B/TOM1L1/YKT6/BNIP3                                                                                                                                                                         </td><td>26</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_CHOLESTEROL_HOMEOSTASIS</th><td>HALLMARK_CHOLESTEROL_HOMEOSTASIS  </td><td>HALLMARK_CHOLESTEROL_HOMEOSTASIS  </td><td>19/316</td><td>74/4386 </td><td>6.403518e-07</td><td>6.147378e-06</td><td>4.853193e-06</td><td>TRIB3/FAM129A/ATF3/SQLE/STX5/IDI1/HMGCR/TNFRSF12A/HMGCS1/LDLR/MVD/ERRFI1/FDPS/PNRC1/SREBF2/ALCAM/ECH1/CPEB2/CYP51A1                                                                                                                                                                                                                 </td><td>19</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_HYPOXIA</th><td>HALLMARK_HYPOXIA                  </td><td>HALLMARK_HYPOXIA                  </td><td>34/316</td><td>200/4386</td><td>1.375148e-06</td><td>1.100118e-05</td><td>8.685145e-06</td><td>HSPA5/DDIT3/MT1E/MT2A/ATF3/PPP1R15A/BTG1/VEGFA/HMOX1/JUN/DUSP1/BNIP3L/KLF6/HDLBP/ERRFI1/DDIT4/PNRC1/WSB1/KLHL24/BHLHE40/TPD52/MAFF/IRS2/NEDD4L/SDC4/FOSL2/EFNA1/ZFP36/ISG20/SIAH2/STC2/SLC2A1/HK2/ZNF292                                                                                                                            </td><td>34</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tHALLMARK\\_UNFOLDED\\_PROTEIN\\_RESPONSE & HALLMARK\\_UNFOLDED\\_PROTEIN\\_RESPONSE & HALLMARK\\_UNFOLDED\\_PROTEIN\\_RESPONSE & 44/316 & 113/4386 & 1.772890e-22 & 8.509872e-21 & 6.718320e-21 & HSPA5/HERPUD1/HSP90B1/SERP1/ATF4/CEBPG/MTHFD2/DDX10/ATF3/ASNS/CALR/HSPA9/HYOU1/PDIA6/DNAJB9/VEGFA/DNAJC3/IARS/SRPRB/SLC1A4/SSR1/EIF4EBP1/WIPI1/EIF2AK3/SEC31A/TARS/CKS1B/CEBPB/TSPYL2/ERN1/DDIT4/FKBP14/PSAT1/EEF2/XPOT/EXOSC1/KIF5B/PDIA5/CHAC1/SPCS3/ATF6/PREB/STC2/EDEM1                                                          & 44\\\\\n",
       "\tHALLMARK\\_MTORC1\\_SIGNALING & HALLMARK\\_MTORC1\\_SIGNALING          & HALLMARK\\_MTORC1\\_SIGNALING          & 53/316 & 200/4386 & 4.257120e-18 & 1.021709e-16 & 8.066122e-17 & NUPR1/HSPA5/DDIT3/HSP90B1/SERP1/SQSTM1/TRIB3/MTHFD2/PHGDH/FAM129A/TCEA1/SDF2L1/CANX/ASNS/CALR/HSPA9/PPP1R15A/EIF2S2/SQLE/EPRS/GOT1/IDI1/SLC1A4/SSR1/HMGCR/UFM1/HMGCS1/FKBP2/IFRD1/RPN1/TXNRD1/SHMT2/SLC7A11/LDLR/SLC1A5/INSIG1/DDIT4/PSAT1/BHLHE40/RAB1A/GGA2/USO1/HSPD1/NAMPT/UBE2D3/CYP51A1/WARS/SLC2A1/YKT6/NFKBIB/EDEM1/GCLC/HK2 & 53\\\\\n",
       "\tHALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB & HALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB   & HALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB   & 42/316 & 200/4386 & 8.302605e-11 & 1.328417e-09 & 1.048750e-09 & SQSTM1/EIF1/ATF3/PPP1R15A/GEM/BTG1/VEGFA/IRF1/CD44/JUN/DUSP1/KLF6/HBEGF/TSC22D1/CEBPB/LDLR/PNRC1/TRIB1/TGIF1/BHLHE40/RIPK2/MAFF/IRS2/REL/MXD1/SDC4/CCNL1/PHLDA2/NFKBIA/NFE2L2/KLF4/TNIP1/FOSL2/GADD45A/EFNA1/MYC/NAMPT/ZFP36/GADD45B/LITAF/IFIH1/PMEPA1                                                                              & 42\\\\\n",
       "\tHALLMARK\\_PROTEIN\\_SECRETION & HALLMARK\\_PROTEIN\\_SECRETION         & HALLMARK\\_PROTEIN\\_SECRETION         & 26/316 & 96/4386  & 1.455209e-09 & 1.746251e-08 & 1.378619e-08 & LMAN1/ARFGAP3/COPE/ARF1/GOLGA4/SEC24D/RAB5A/SEC31A/ARCN1/TMED10/COPB2/DST/RAB9A/TPD52/ICA1/NAPA/USO1/COPB1/SEC22B/TMED2/BET1/RAB22A/VPS4B/TOM1L1/YKT6/BNIP3                                                                                                                                                                          & 26\\\\\n",
       "\tHALLMARK\\_CHOLESTEROL\\_HOMEOSTASIS & HALLMARK\\_CHOLESTEROL\\_HOMEOSTASIS   & HALLMARK\\_CHOLESTEROL\\_HOMEOSTASIS   & 19/316 & 74/4386  & 6.403518e-07 & 6.147378e-06 & 4.853193e-06 & TRIB3/FAM129A/ATF3/SQLE/STX5/IDI1/HMGCR/TNFRSF12A/HMGCS1/LDLR/MVD/ERRFI1/FDPS/PNRC1/SREBF2/ALCAM/ECH1/CPEB2/CYP51A1                                                                                                                                                                                                                  & 19\\\\\n",
       "\tHALLMARK\\_HYPOXIA & HALLMARK\\_HYPOXIA                   & HALLMARK\\_HYPOXIA                   & 34/316 & 200/4386 & 1.375148e-06 & 1.100118e-05 & 8.685145e-06 & HSPA5/DDIT3/MT1E/MT2A/ATF3/PPP1R15A/BTG1/VEGFA/HMOX1/JUN/DUSP1/BNIP3L/KLF6/HDLBP/ERRFI1/DDIT4/PNRC1/WSB1/KLHL24/BHLHE40/TPD52/MAFF/IRS2/NEDD4L/SDC4/FOSL2/EFNA1/ZFP36/ISG20/SIAH2/STC2/SLC2A1/HK2/ZNF292                                                                                                                             & 34\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| HALLMARK_UNFOLDED_PROTEIN_RESPONSE | HALLMARK_UNFOLDED_PROTEIN_RESPONSE | HALLMARK_UNFOLDED_PROTEIN_RESPONSE | 44/316 | 113/4386 | 1.772890e-22 | 8.509872e-21 | 6.718320e-21 | HSPA5/HERPUD1/HSP90B1/SERP1/ATF4/CEBPG/MTHFD2/DDX10/ATF3/ASNS/CALR/HSPA9/HYOU1/PDIA6/DNAJB9/VEGFA/DNAJC3/IARS/SRPRB/SLC1A4/SSR1/EIF4EBP1/WIPI1/EIF2AK3/SEC31A/TARS/CKS1B/CEBPB/TSPYL2/ERN1/DDIT4/FKBP14/PSAT1/EEF2/XPOT/EXOSC1/KIF5B/PDIA5/CHAC1/SPCS3/ATF6/PREB/STC2/EDEM1                                                          | 44 |\n",
       "| HALLMARK_MTORC1_SIGNALING | HALLMARK_MTORC1_SIGNALING          | HALLMARK_MTORC1_SIGNALING          | 53/316 | 200/4386 | 4.257120e-18 | 1.021709e-16 | 8.066122e-17 | NUPR1/HSPA5/DDIT3/HSP90B1/SERP1/SQSTM1/TRIB3/MTHFD2/PHGDH/FAM129A/TCEA1/SDF2L1/CANX/ASNS/CALR/HSPA9/PPP1R15A/EIF2S2/SQLE/EPRS/GOT1/IDI1/SLC1A4/SSR1/HMGCR/UFM1/HMGCS1/FKBP2/IFRD1/RPN1/TXNRD1/SHMT2/SLC7A11/LDLR/SLC1A5/INSIG1/DDIT4/PSAT1/BHLHE40/RAB1A/GGA2/USO1/HSPD1/NAMPT/UBE2D3/CYP51A1/WARS/SLC2A1/YKT6/NFKBIB/EDEM1/GCLC/HK2 | 53 |\n",
       "| HALLMARK_TNFA_SIGNALING_VIA_NFKB | HALLMARK_TNFA_SIGNALING_VIA_NFKB   | HALLMARK_TNFA_SIGNALING_VIA_NFKB   | 42/316 | 200/4386 | 8.302605e-11 | 1.328417e-09 | 1.048750e-09 | SQSTM1/EIF1/ATF3/PPP1R15A/GEM/BTG1/VEGFA/IRF1/CD44/JUN/DUSP1/KLF6/HBEGF/TSC22D1/CEBPB/LDLR/PNRC1/TRIB1/TGIF1/BHLHE40/RIPK2/MAFF/IRS2/REL/MXD1/SDC4/CCNL1/PHLDA2/NFKBIA/NFE2L2/KLF4/TNIP1/FOSL2/GADD45A/EFNA1/MYC/NAMPT/ZFP36/GADD45B/LITAF/IFIH1/PMEPA1                                                                              | 42 |\n",
       "| HALLMARK_PROTEIN_SECRETION | HALLMARK_PROTEIN_SECRETION         | HALLMARK_PROTEIN_SECRETION         | 26/316 | 96/4386  | 1.455209e-09 | 1.746251e-08 | 1.378619e-08 | LMAN1/ARFGAP3/COPE/ARF1/GOLGA4/SEC24D/RAB5A/SEC31A/ARCN1/TMED10/COPB2/DST/RAB9A/TPD52/ICA1/NAPA/USO1/COPB1/SEC22B/TMED2/BET1/RAB22A/VPS4B/TOM1L1/YKT6/BNIP3                                                                                                                                                                          | 26 |\n",
       "| HALLMARK_CHOLESTEROL_HOMEOSTASIS | HALLMARK_CHOLESTEROL_HOMEOSTASIS   | HALLMARK_CHOLESTEROL_HOMEOSTASIS   | 19/316 | 74/4386  | 6.403518e-07 | 6.147378e-06 | 4.853193e-06 | TRIB3/FAM129A/ATF3/SQLE/STX5/IDI1/HMGCR/TNFRSF12A/HMGCS1/LDLR/MVD/ERRFI1/FDPS/PNRC1/SREBF2/ALCAM/ECH1/CPEB2/CYP51A1                                                                                                                                                                                                                  | 19 |\n",
       "| HALLMARK_HYPOXIA | HALLMARK_HYPOXIA                   | HALLMARK_HYPOXIA                   | 34/316 | 200/4386 | 1.375148e-06 | 1.100118e-05 | 8.685145e-06 | HSPA5/DDIT3/MT1E/MT2A/ATF3/PPP1R15A/BTG1/VEGFA/HMOX1/JUN/DUSP1/BNIP3L/KLF6/HDLBP/ERRFI1/DDIT4/PNRC1/WSB1/KLHL24/BHLHE40/TPD52/MAFF/IRS2/NEDD4L/SDC4/FOSL2/EFNA1/ZFP36/ISG20/SIAH2/STC2/SLC2A1/HK2/ZNF292                                                                                                                             | 34 |\n",
       "\n"
      ],
      "text/plain": [
       "                                   ID                                \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE HALLMARK_UNFOLDED_PROTEIN_RESPONSE\n",
       "HALLMARK_MTORC1_SIGNALING          HALLMARK_MTORC1_SIGNALING         \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   HALLMARK_TNFA_SIGNALING_VIA_NFKB  \n",
       "HALLMARK_PROTEIN_SECRETION         HALLMARK_PROTEIN_SECRETION        \n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   HALLMARK_CHOLESTEROL_HOMEOSTASIS  \n",
       "HALLMARK_HYPOXIA                   HALLMARK_HYPOXIA                  \n",
       "                                   Description                        GeneRatio\n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE HALLMARK_UNFOLDED_PROTEIN_RESPONSE 44/316   \n",
       "HALLMARK_MTORC1_SIGNALING          HALLMARK_MTORC1_SIGNALING          53/316   \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   HALLMARK_TNFA_SIGNALING_VIA_NFKB   42/316   \n",
       "HALLMARK_PROTEIN_SECRETION         HALLMARK_PROTEIN_SECRETION         26/316   \n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   HALLMARK_CHOLESTEROL_HOMEOSTASIS   19/316   \n",
       "HALLMARK_HYPOXIA                   HALLMARK_HYPOXIA                   34/316   \n",
       "                                   BgRatio  pvalue       p.adjust    \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE 113/4386 1.772890e-22 8.509872e-21\n",
       "HALLMARK_MTORC1_SIGNALING          200/4386 4.257120e-18 1.021709e-16\n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   200/4386 8.302605e-11 1.328417e-09\n",
       "HALLMARK_PROTEIN_SECRETION         96/4386  1.455209e-09 1.746251e-08\n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   74/4386  6.403518e-07 6.147378e-06\n",
       "HALLMARK_HYPOXIA                   200/4386 1.375148e-06 1.100118e-05\n",
       "                                   qvalue      \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE 6.718320e-21\n",
       "HALLMARK_MTORC1_SIGNALING          8.066122e-17\n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   1.048750e-09\n",
       "HALLMARK_PROTEIN_SECRETION         1.378619e-08\n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   4.853193e-06\n",
       "HALLMARK_HYPOXIA                   8.685145e-06\n",
       "                                   geneID                                                                                                                                                                                                                                                                                                                              \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE HSPA5/HERPUD1/HSP90B1/SERP1/ATF4/CEBPG/MTHFD2/DDX10/ATF3/ASNS/CALR/HSPA9/HYOU1/PDIA6/DNAJB9/VEGFA/DNAJC3/IARS/SRPRB/SLC1A4/SSR1/EIF4EBP1/WIPI1/EIF2AK3/SEC31A/TARS/CKS1B/CEBPB/TSPYL2/ERN1/DDIT4/FKBP14/PSAT1/EEF2/XPOT/EXOSC1/KIF5B/PDIA5/CHAC1/SPCS3/ATF6/PREB/STC2/EDEM1                                                         \n",
       "HALLMARK_MTORC1_SIGNALING          NUPR1/HSPA5/DDIT3/HSP90B1/SERP1/SQSTM1/TRIB3/MTHFD2/PHGDH/FAM129A/TCEA1/SDF2L1/CANX/ASNS/CALR/HSPA9/PPP1R15A/EIF2S2/SQLE/EPRS/GOT1/IDI1/SLC1A4/SSR1/HMGCR/UFM1/HMGCS1/FKBP2/IFRD1/RPN1/TXNRD1/SHMT2/SLC7A11/LDLR/SLC1A5/INSIG1/DDIT4/PSAT1/BHLHE40/RAB1A/GGA2/USO1/HSPD1/NAMPT/UBE2D3/CYP51A1/WARS/SLC2A1/YKT6/NFKBIB/EDEM1/GCLC/HK2\n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   SQSTM1/EIF1/ATF3/PPP1R15A/GEM/BTG1/VEGFA/IRF1/CD44/JUN/DUSP1/KLF6/HBEGF/TSC22D1/CEBPB/LDLR/PNRC1/TRIB1/TGIF1/BHLHE40/RIPK2/MAFF/IRS2/REL/MXD1/SDC4/CCNL1/PHLDA2/NFKBIA/NFE2L2/KLF4/TNIP1/FOSL2/GADD45A/EFNA1/MYC/NAMPT/ZFP36/GADD45B/LITAF/IFIH1/PMEPA1                                                                             \n",
       "HALLMARK_PROTEIN_SECRETION         LMAN1/ARFGAP3/COPE/ARF1/GOLGA4/SEC24D/RAB5A/SEC31A/ARCN1/TMED10/COPB2/DST/RAB9A/TPD52/ICA1/NAPA/USO1/COPB1/SEC22B/TMED2/BET1/RAB22A/VPS4B/TOM1L1/YKT6/BNIP3                                                                                                                                                                         \n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   TRIB3/FAM129A/ATF3/SQLE/STX5/IDI1/HMGCR/TNFRSF12A/HMGCS1/LDLR/MVD/ERRFI1/FDPS/PNRC1/SREBF2/ALCAM/ECH1/CPEB2/CYP51A1                                                                                                                                                                                                                 \n",
       "HALLMARK_HYPOXIA                   HSPA5/DDIT3/MT1E/MT2A/ATF3/PPP1R15A/BTG1/VEGFA/HMOX1/JUN/DUSP1/BNIP3L/KLF6/HDLBP/ERRFI1/DDIT4/PNRC1/WSB1/KLHL24/BHLHE40/TPD52/MAFF/IRS2/NEDD4L/SDC4/FOSL2/EFNA1/ZFP36/ISG20/SIAH2/STC2/SLC2A1/HK2/ZNF292                                                                                                                            \n",
       "                                   Count\n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE 44   \n",
       "HALLMARK_MTORC1_SIGNALING          53   \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   42   \n",
       "HALLMARK_PROTEIN_SECRETION         26   \n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   19   \n",
       "HALLMARK_HYPOXIA                   34   "
      ]
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       "<ol class=list-inline><li>9</li><li>9</li></ol>\n"
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      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 9\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
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       "1. 9\n",
       "2. 9\n",
       "\n",
       "\n"
      ],
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       "[1] 9 9"
      ]
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       "down unc_lccc"
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     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954  </td><td>UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954  </td><td>84/880</td><td>430/19993</td><td>1.492977e-31</td><td>5.927120e-29</td><td>4.510363e-29</td><td>HSP90B1/SERP1/MTHFD2/GFPT1/ARFGAP3/KDELR2/RSL24D1/TMEM258/DNAJB9/CCPG1/TMED5/MAP1LC3B/SLK/IDI1/SEC24D/JMJD1C/UFM1/EIF5/EIF2AK3/TARS/MAPK6/HSPA13/ARCN1/ACBD3/COPB2/SEC61G/CYCS/PRELID3B/SRP19/LRIF1/ARL8B/MCFD2/ARL1/CHMP2B/TXNRD1/CALCOCO2/GHITM/SRP54/BNIP2/PPP1R2/TDG/RNF6/XPOT/RAB9A/NRBF2/SUCO/GOLT1B/TCEAL9/USO1/TMEM106B/KIF5B/USP16/CRY1/COPB1/PPP1CB/ZC3H15/CCDC47/ATG3/EXOSC8/SEC22B/CSGALNACT2/EMC2/BET1/ABI1/TIMM17A/CLINT1/TMEM39A/SPCS3/GNAI3/RAD23B/ADK/SCFD1/TERF2IP/BCAS2/ITGAV/INSIG2/SARAF/SELENOF/ABHD5/EIF1B/ATF2/TM9SF3/FEM1B/AIMP1</td><td>84</td></tr>\n",
       "\t<tr><th scope=row>Duke_Module07_glucosedepletion_Mike_PMID.20335537</th><td>Duke_Module07_glucosedepletion_Mike_PMID.20335537 </td><td>Duke_Module07_glucosedepletion_Mike_PMID.20335537 </td><td>22/880</td><td>27/19993 </td><td>7.333335e-26</td><td>1.455667e-23</td><td>1.107719e-23</td><td>SLC3A2/HERPUD1/SDF2L1/HYOU1/EPRS/DNAJB9/MAP1LC3B/YARS/CLIC4/SEL1L/SLC38A2/IFRD1/CARS/DDIT4/KLHL24/CALU/HBP1/NFE2L1/TMEM106B/TERF2IP/WARS/SEC63                                                                                                                                                                                                                                                                                                                                                                                                           </td><td>22</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954</td><td>UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954</td><td>50/880</td><td>276/19993</td><td>9.896916e-18</td><td>1.309692e-15</td><td>9.966368e-16</td><td>HSP90B1/GNL3/GOLGA4/RB1CC1/LRRFIP1/TMF1/GOLGB1/SLK/JMJD1C/CCDC186/TAX1BP1/CLIP1/CIR1/SMG1/DAAM1/TRIP11/ANKRD12/CHD9/ZNF91/KLHL24/RSF1/SREK1/DEK/UPF2/CCNL1/KIF5B/USP16/FNBP4/UPF3B/SRSF11/PPIG/RSRC2/ZC3H15/OFD1/EMC2/EIF4G3/PKN2/NKTR/USP1/PHF20L1/SHOC2/USP47/PFDN2/SELENOP/BTBD7/ANKRD11/HOOK1/BRWD1/CHORDC1/TWISTNB                                                                                                                                                                                                                                  </td><td>50</td></tr>\n",
       "\t<tr><th scope=row>UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954</td><td>UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954</td><td>17/880</td><td>29/19993 </td><td>2.370459e-16</td><td>2.352681e-14</td><td>1.790320e-14</td><td>PDIA3/PPIB/TMED9/KDELR2/SLC39A7/SRPRB/CKAP4/SEC61A1/COPB2/RPN1/GORASP2/COPG1/DAP/RABAC1/PDIA5/SEC13/YKT6                                                                                                                                                                                                                                                                                                                                                                                                                                                 </td><td>17</td></tr>\n",
       "\t<tr><th scope=row>Duke_Module05_egfr_Mike_PMID.20335537</th><td>Duke_Module05_egfr_Mike_PMID.20335537             </td><td>Duke_Module05_egfr_Mike_PMID.20335537             </td><td>48/880</td><td>281/19993</td><td>5.099745e-16</td><td>4.049197e-14</td><td>3.081319e-14</td><td>SQLE/ATXN1/BTG1/VEGFA/STX3/CD44/HMGCR/GOLGA2/DUSP10/SEC31A/MAPK6/BNIP3L/SLC38A2/ACBD3/KLF6/INTS6/ARL8B/LRRFIP2/TSC22D1/DAAM1/CDYL/CEBPB/LDLR/DDIT4/WSB1/TRIB1/EHF/DST/BHLHE40/MAFF/CSNK1A1/CCNL1/NFKBIA/TNIP1/KMT2A/GADD45A/EFNA1/ZFP36/ISG20/RAB22A/SVIL/INSIG2/SLC2A1/SEC24A/GCLC/MACF1/FEM1B/N4BP1                                                                                                                                                                                                                                                    </td><td>48</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  </td><td>UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  </td><td>52/880</td><td>335/19993</td><td>1.882687e-15</td><td>1.245711e-13</td><td>9.479495e-14</td><td>PDIA3/LMAN1/PPIB/JUND/CANX/ARF4/ARF1/P4HB/PJA2/TMCO3/TRAM1/SRPRA/CDV3/PSAP/MAP1LC3B/STX3/SSR1/CLIC4/RAB5A/KLF6/GCLM/PGM3/MBNL2/DNAJC10/CDYL/TRIM27/PPP1R2/YIPF5/EIF2S3/EHF/NEU1/RAB9A/RAB1A/CALU/PTP4A1/KPNA4/KIF5B/KDELR1/NFE2L2/SH3GLB1/TMOD3/TMED2/CREBZF/PPIF/UBE2D3/TKT/GNAI3/DDX3X/UBE2H/MAX/CBX4/CAPN7                                                                                                                                                                                                                                            </td><td>52</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tUNC\\_HS\\_Red22\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Red22\\_BMC.Med.Genomics.2011\\_PMID.21214954   & UNC\\_HS\\_Red22\\_BMC.Med.Genomics.2011\\_PMID.21214954   & 84/880 & 430/19993 & 1.492977e-31 & 5.927120e-29 & 4.510363e-29 & HSP90B1/SERP1/MTHFD2/GFPT1/ARFGAP3/KDELR2/RSL24D1/TMEM258/DNAJB9/CCPG1/TMED5/MAP1LC3B/SLK/IDI1/SEC24D/JMJD1C/UFM1/EIF5/EIF2AK3/TARS/MAPK6/HSPA13/ARCN1/ACBD3/COPB2/SEC61G/CYCS/PRELID3B/SRP19/LRIF1/ARL8B/MCFD2/ARL1/CHMP2B/TXNRD1/CALCOCO2/GHITM/SRP54/BNIP2/PPP1R2/TDG/RNF6/XPOT/RAB9A/NRBF2/SUCO/GOLT1B/TCEAL9/USO1/TMEM106B/KIF5B/USP16/CRY1/COPB1/PPP1CB/ZC3H15/CCDC47/ATG3/EXOSC8/SEC22B/CSGALNACT2/EMC2/BET1/ABI1/TIMM17A/CLINT1/TMEM39A/SPCS3/GNAI3/RAD23B/ADK/SCFD1/TERF2IP/BCAS2/ITGAV/INSIG2/SARAF/SELENOF/ABHD5/EIF1B/ATF2/TM9SF3/FEM1B/AIMP1 & 84\\\\\n",
       "\tDuke\\_Module07\\_glucosedepletion\\_Mike\\_PMID.20335537 & Duke\\_Module07\\_glucosedepletion\\_Mike\\_PMID.20335537  & Duke\\_Module07\\_glucosedepletion\\_Mike\\_PMID.20335537  & 22/880 & 27/19993  & 7.333335e-26 & 1.455667e-23 & 1.107719e-23 & SLC3A2/HERPUD1/SDF2L1/HYOU1/EPRS/DNAJB9/MAP1LC3B/YARS/CLIC4/SEL1L/SLC38A2/IFRD1/CARS/DDIT4/KLHL24/CALU/HBP1/NFE2L1/TMEM106B/TERF2IP/WARS/SEC63                                                                                                                                                                                                                                                                                                                                                                                                            & 22\\\\\n",
       "\tUNC\\_HS\\_Green16\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Green16\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Green16\\_BMC.Med.Genomics.2011\\_PMID.21214954 & 50/880 & 276/19993 & 9.896916e-18 & 1.309692e-15 & 9.966368e-16 & HSP90B1/GNL3/GOLGA4/RB1CC1/LRRFIP1/TMF1/GOLGB1/SLK/JMJD1C/CCDC186/TAX1BP1/CLIP1/CIR1/SMG1/DAAM1/TRIP11/ANKRD12/CHD9/ZNF91/KLHL24/RSF1/SREK1/DEK/UPF2/CCNL1/KIF5B/USP16/FNBP4/UPF3B/SRSF11/PPIG/RSRC2/ZC3H15/OFD1/EMC2/EIF4G3/PKN2/NKTR/USP1/PHF20L1/SHOC2/USP47/PFDN2/SELENOP/BTBD7/ANKRD11/HOOK1/BRWD1/CHORDC1/TWISTNB                                                                                                                                                                                                                                   & 50\\\\\n",
       "\tUNC\\_Unknown\\_10\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_Unknown\\_10\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_Unknown\\_10\\_BMC.Med.Genomics.2011\\_PMID.21214954 & 17/880 & 29/19993  & 2.370459e-16 & 2.352681e-14 & 1.790320e-14 & PDIA3/PPIB/TMED9/KDELR2/SLC39A7/SRPRB/CKAP4/SEC61A1/COPB2/RPN1/GORASP2/COPG1/DAP/RABAC1/PDIA5/SEC13/YKT6                                                                                                                                                                                                                                                                                                                                                                                                                                                  & 17\\\\\n",
       "\tDuke\\_Module05\\_egfr\\_Mike\\_PMID.20335537 & Duke\\_Module05\\_egfr\\_Mike\\_PMID.20335537              & Duke\\_Module05\\_egfr\\_Mike\\_PMID.20335537              & 48/880 & 281/19993 & 5.099745e-16 & 4.049197e-14 & 3.081319e-14 & SQLE/ATXN1/BTG1/VEGFA/STX3/CD44/HMGCR/GOLGA2/DUSP10/SEC31A/MAPK6/BNIP3L/SLC38A2/ACBD3/KLF6/INTS6/ARL8B/LRRFIP2/TSC22D1/DAAM1/CDYL/CEBPB/LDLR/DDIT4/WSB1/TRIB1/EHF/DST/BHLHE40/MAFF/CSNK1A1/CCNL1/NFKBIA/TNIP1/KMT2A/GADD45A/EFNA1/ZFP36/ISG20/RAB22A/SVIL/INSIG2/SLC2A1/SEC24A/GCLC/MACF1/FEM1B/N4BP1                                                                                                                                                                                                                                                     & 48\\\\\n",
       "\tUNC\\_HS\\_Red17\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Red17\\_BMC.Med.Genomics.2011\\_PMID.21214954   & UNC\\_HS\\_Red17\\_BMC.Med.Genomics.2011\\_PMID.21214954   & 52/880 & 335/19993 & 1.882687e-15 & 1.245711e-13 & 9.479495e-14 & PDIA3/LMAN1/PPIB/JUND/CANX/ARF4/ARF1/P4HB/PJA2/TMCO3/TRAM1/SRPRA/CDV3/PSAP/MAP1LC3B/STX3/SSR1/CLIC4/RAB5A/KLF6/GCLM/PGM3/MBNL2/DNAJC10/CDYL/TRIM27/PPP1R2/YIPF5/EIF2S3/EHF/NEU1/RAB9A/RAB1A/CALU/PTP4A1/KPNA4/KIF5B/KDELR1/NFE2L2/SH3GLB1/TMOD3/TMED2/CREBZF/PPIF/UBE2D3/TKT/GNAI3/DDX3X/UBE2H/MAX/CBX4/CAPN7                                                                                                                                                                                                                                             & 52\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   | UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   | 84/880 | 430/19993 | 1.492977e-31 | 5.927120e-29 | 4.510363e-29 | HSP90B1/SERP1/MTHFD2/GFPT1/ARFGAP3/KDELR2/RSL24D1/TMEM258/DNAJB9/CCPG1/TMED5/MAP1LC3B/SLK/IDI1/SEC24D/JMJD1C/UFM1/EIF5/EIF2AK3/TARS/MAPK6/HSPA13/ARCN1/ACBD3/COPB2/SEC61G/CYCS/PRELID3B/SRP19/LRIF1/ARL8B/MCFD2/ARL1/CHMP2B/TXNRD1/CALCOCO2/GHITM/SRP54/BNIP2/PPP1R2/TDG/RNF6/XPOT/RAB9A/NRBF2/SUCO/GOLT1B/TCEAL9/USO1/TMEM106B/KIF5B/USP16/CRY1/COPB1/PPP1CB/ZC3H15/CCDC47/ATG3/EXOSC8/SEC22B/CSGALNACT2/EMC2/BET1/ABI1/TIMM17A/CLINT1/TMEM39A/SPCS3/GNAI3/RAD23B/ADK/SCFD1/TERF2IP/BCAS2/ITGAV/INSIG2/SARAF/SELENOF/ABHD5/EIF1B/ATF2/TM9SF3/FEM1B/AIMP1 | 84 |\n",
       "| Duke_Module07_glucosedepletion_Mike_PMID.20335537 | Duke_Module07_glucosedepletion_Mike_PMID.20335537  | Duke_Module07_glucosedepletion_Mike_PMID.20335537  | 22/880 | 27/19993  | 7.333335e-26 | 1.455667e-23 | 1.107719e-23 | SLC3A2/HERPUD1/SDF2L1/HYOU1/EPRS/DNAJB9/MAP1LC3B/YARS/CLIC4/SEL1L/SLC38A2/IFRD1/CARS/DDIT4/KLHL24/CALU/HBP1/NFE2L1/TMEM106B/TERF2IP/WARS/SEC63                                                                                                                                                                                                                                                                                                                                                                                                            | 22 |\n",
       "| UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954 | 50/880 | 276/19993 | 9.896916e-18 | 1.309692e-15 | 9.966368e-16 | HSP90B1/GNL3/GOLGA4/RB1CC1/LRRFIP1/TMF1/GOLGB1/SLK/JMJD1C/CCDC186/TAX1BP1/CLIP1/CIR1/SMG1/DAAM1/TRIP11/ANKRD12/CHD9/ZNF91/KLHL24/RSF1/SREK1/DEK/UPF2/CCNL1/KIF5B/USP16/FNBP4/UPF3B/SRSF11/PPIG/RSRC2/ZC3H15/OFD1/EMC2/EIF4G3/PKN2/NKTR/USP1/PHF20L1/SHOC2/USP47/PFDN2/SELENOP/BTBD7/ANKRD11/HOOK1/BRWD1/CHORDC1/TWISTNB                                                                                                                                                                                                                                   | 50 |\n",
       "| UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 | UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 | UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 | 17/880 | 29/19993  | 2.370459e-16 | 2.352681e-14 | 1.790320e-14 | PDIA3/PPIB/TMED9/KDELR2/SLC39A7/SRPRB/CKAP4/SEC61A1/COPB2/RPN1/GORASP2/COPG1/DAP/RABAC1/PDIA5/SEC13/YKT6                                                                                                                                                                                                                                                                                                                                                                                                                                                  | 17 |\n",
       "| Duke_Module05_egfr_Mike_PMID.20335537 | Duke_Module05_egfr_Mike_PMID.20335537              | Duke_Module05_egfr_Mike_PMID.20335537              | 48/880 | 281/19993 | 5.099745e-16 | 4.049197e-14 | 3.081319e-14 | SQLE/ATXN1/BTG1/VEGFA/STX3/CD44/HMGCR/GOLGA2/DUSP10/SEC31A/MAPK6/BNIP3L/SLC38A2/ACBD3/KLF6/INTS6/ARL8B/LRRFIP2/TSC22D1/DAAM1/CDYL/CEBPB/LDLR/DDIT4/WSB1/TRIB1/EHF/DST/BHLHE40/MAFF/CSNK1A1/CCNL1/NFKBIA/TNIP1/KMT2A/GADD45A/EFNA1/ZFP36/ISG20/RAB22A/SVIL/INSIG2/SLC2A1/SEC24A/GCLC/MACF1/FEM1B/N4BP1                                                                                                                                                                                                                                                     | 48 |\n",
       "| UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   | UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   | 52/880 | 335/19993 | 1.882687e-15 | 1.245711e-13 | 9.479495e-14 | PDIA3/LMAN1/PPIB/JUND/CANX/ARF4/ARF1/P4HB/PJA2/TMCO3/TRAM1/SRPRA/CDV3/PSAP/MAP1LC3B/STX3/SSR1/CLIC4/RAB5A/KLF6/GCLM/PGM3/MBNL2/DNAJC10/CDYL/TRIM27/PPP1R2/YIPF5/EIF2S3/EHF/NEU1/RAB9A/RAB1A/CALU/PTP4A1/KPNA4/KIF5B/KDELR1/NFE2L2/SH3GLB1/TMOD3/TMED2/CREBZF/PPIF/UBE2D3/TKT/GNAI3/DDX3X/UBE2H/MAX/CBX4/CAPN7                                                                                                                                                                                                                                             | 52 |\n",
       "\n"
      ],
      "text/plain": [
       "                                                   ID                                                \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  Duke_Module07_glucosedepletion_Mike_PMID.20335537 \n",
       "UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954 UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954\n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954\n",
       "Duke_Module05_egfr_Mike_PMID.20335537              Duke_Module05_egfr_Mike_PMID.20335537             \n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "                                                   Description                                       \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  Duke_Module07_glucosedepletion_Mike_PMID.20335537 \n",
       "UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954 UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954\n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954\n",
       "Duke_Module05_egfr_Mike_PMID.20335537              Duke_Module05_egfr_Mike_PMID.20335537             \n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "                                                   GeneRatio BgRatio  \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   84/880    430/19993\n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  22/880    27/19993 \n",
       "UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954 50/880    276/19993\n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 17/880    29/19993 \n",
       "Duke_Module05_egfr_Mike_PMID.20335537              48/880    281/19993\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   52/880    335/19993\n",
       "                                                   pvalue       p.adjust    \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   1.492977e-31 5.927120e-29\n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  7.333335e-26 1.455667e-23\n",
       "UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954 9.896916e-18 1.309692e-15\n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 2.370459e-16 2.352681e-14\n",
       "Duke_Module05_egfr_Mike_PMID.20335537              5.099745e-16 4.049197e-14\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   1.882687e-15 1.245711e-13\n",
       "                                                   qvalue      \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   4.510363e-29\n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  1.107719e-23\n",
       "UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954 9.966368e-16\n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 1.790320e-14\n",
       "Duke_Module05_egfr_Mike_PMID.20335537              3.081319e-14\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   9.479495e-14\n",
       "                                                   geneID                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   HSP90B1/SERP1/MTHFD2/GFPT1/ARFGAP3/KDELR2/RSL24D1/TMEM258/DNAJB9/CCPG1/TMED5/MAP1LC3B/SLK/IDI1/SEC24D/JMJD1C/UFM1/EIF5/EIF2AK3/TARS/MAPK6/HSPA13/ARCN1/ACBD3/COPB2/SEC61G/CYCS/PRELID3B/SRP19/LRIF1/ARL8B/MCFD2/ARL1/CHMP2B/TXNRD1/CALCOCO2/GHITM/SRP54/BNIP2/PPP1R2/TDG/RNF6/XPOT/RAB9A/NRBF2/SUCO/GOLT1B/TCEAL9/USO1/TMEM106B/KIF5B/USP16/CRY1/COPB1/PPP1CB/ZC3H15/CCDC47/ATG3/EXOSC8/SEC22B/CSGALNACT2/EMC2/BET1/ABI1/TIMM17A/CLINT1/TMEM39A/SPCS3/GNAI3/RAD23B/ADK/SCFD1/TERF2IP/BCAS2/ITGAV/INSIG2/SARAF/SELENOF/ABHD5/EIF1B/ATF2/TM9SF3/FEM1B/AIMP1\n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  SLC3A2/HERPUD1/SDF2L1/HYOU1/EPRS/DNAJB9/MAP1LC3B/YARS/CLIC4/SEL1L/SLC38A2/IFRD1/CARS/DDIT4/KLHL24/CALU/HBP1/NFE2L1/TMEM106B/TERF2IP/WARS/SEC63                                                                                                                                                                                                                                                                                                                                                                                                           \n",
       "UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954 HSP90B1/GNL3/GOLGA4/RB1CC1/LRRFIP1/TMF1/GOLGB1/SLK/JMJD1C/CCDC186/TAX1BP1/CLIP1/CIR1/SMG1/DAAM1/TRIP11/ANKRD12/CHD9/ZNF91/KLHL24/RSF1/SREK1/DEK/UPF2/CCNL1/KIF5B/USP16/FNBP4/UPF3B/SRSF11/PPIG/RSRC2/ZC3H15/OFD1/EMC2/EIF4G3/PKN2/NKTR/USP1/PHF20L1/SHOC2/USP47/PFDN2/SELENOP/BTBD7/ANKRD11/HOOK1/BRWD1/CHORDC1/TWISTNB                                                                                                                                                                                                                                  \n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 PDIA3/PPIB/TMED9/KDELR2/SLC39A7/SRPRB/CKAP4/SEC61A1/COPB2/RPN1/GORASP2/COPG1/DAP/RABAC1/PDIA5/SEC13/YKT6                                                                                                                                                                                                                                                                                                                                                                                                                                                 \n",
       "Duke_Module05_egfr_Mike_PMID.20335537              SQLE/ATXN1/BTG1/VEGFA/STX3/CD44/HMGCR/GOLGA2/DUSP10/SEC31A/MAPK6/BNIP3L/SLC38A2/ACBD3/KLF6/INTS6/ARL8B/LRRFIP2/TSC22D1/DAAM1/CDYL/CEBPB/LDLR/DDIT4/WSB1/TRIB1/EHF/DST/BHLHE40/MAFF/CSNK1A1/CCNL1/NFKBIA/TNIP1/KMT2A/GADD45A/EFNA1/ZFP36/ISG20/RAB22A/SVIL/INSIG2/SLC2A1/SEC24A/GCLC/MACF1/FEM1B/N4BP1                                                                                                                                                                                                                                                    \n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   PDIA3/LMAN1/PPIB/JUND/CANX/ARF4/ARF1/P4HB/PJA2/TMCO3/TRAM1/SRPRA/CDV3/PSAP/MAP1LC3B/STX3/SSR1/CLIC4/RAB5A/KLF6/GCLM/PGM3/MBNL2/DNAJC10/CDYL/TRIM27/PPP1R2/YIPF5/EIF2S3/EHF/NEU1/RAB9A/RAB1A/CALU/PTP4A1/KPNA4/KIF5B/KDELR1/NFE2L2/SH3GLB1/TMOD3/TMED2/CREBZF/PPIF/UBE2D3/TKT/GNAI3/DDX3X/UBE2H/MAX/CBX4/CAPN7                                                                                                                                                                                                                                            \n",
       "                                                   Count\n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   84   \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  22   \n",
       "UNC_HS_Green16_BMC.Med.Genomics.2011_PMID.21214954 50   \n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 17   \n",
       "Duke_Module05_egfr_Mike_PMID.20335537              48   \n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   52   "
      ]
     },
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       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
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       "</style>\n",
       "<ol class=list-inline><li>74</li><li>9</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 74\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 74\n",
       "2. 9\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 74  9"
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      "text/html": [
       "filename_xlsx: xlsx/er+bc-pairs_cluster2_vs_cluster12_Tumor_cells.xlsx\n"
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       "filename_figure: heatmap_er+bc-pairs_cluster2_vs_cluster12_Tumor_cells_zscore\n"
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4lDJOnGp08Xp6ZJB5LjUyvSFF2ezW322927lckqSRXSSjZV4fpN5fJycaey0bad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\nEEI0hQkaIYRoChM0QgjRFCZohBCiqf8Ds2ZH0E7O80sAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "list_markers <- find_markers(rna, sample1 = sample1,\n",
    "                        sample_ref = sample_ref,\n",
    "                        pattern_sample1 = pattern_sample1,\n",
    "                        pattern_sample_ref = pattern_sample_ref,\n",
    "                             \n",
    "                        # pattern_tumor_epi     \n",
    "                        pattern_cell_type1 = pattern_tumor_epi,\n",
    "                        pattern_cell_type_ref = pattern_tumor_epi,\n",
    "                             \n",
    "                        # cluster number\n",
    "                        str_column_of_meta_data_cluster = str_column_of_meta_data_cluster,\n",
    "                        clusters1 = clusters1,\n",
    "                        clusters_ref = clusters_ref,\n",
    "                             \n",
    "                        group_name1 = sprintf(\"%s Tumor cells\", group_name1),\n",
    "                        group_name_ref = sprintf(\"%s Tumor cells\", group_name_ref),\n",
    "                        col_cluster_types = col_cluster_types_,\n",
    "                        col_cell_types = col_cell_types_,\n",
    "                        th_log2fc = th_log2fc_,\n",
    "                        th_padj = th_padj_, \n",
    "                        min.pct = min.pct_,\n",
    "                        min.diff.pct = min.diff.pct_,\n",
    "                        max.cells.per.ident = max.cells.per.ident_,\n",
    "                        method_dge = method_dge)\n",
    "\n",
    "str_condition_tmp <- sprintf(\"%s_%s_vs_%s_Tumor cells\",\n",
    "                             str_condition,\n",
    "                             group_name_ref, group_name1)\n",
    "\n",
    "if (type_condition != \"none\") {\n",
    "          str_condition_tmp <- sprintf(\"%s_%s\", str_condition_tmp, type_condition)\n",
    "}\n",
    "\n",
    "list_ea <- execute_enrichment_analysis(list_markers$markers,\n",
    "                        str_condition_tmp,\n",
    "                        th_log2fc = th_log2fc_,\n",
    "                        th_padj = th_padj_,\n",
    "                        method_dge = method_dge,\n",
    "                        dir_xlsx = dir_xlsx,       \n",
    "                        n_log = 1)\n",
    "\n",
    "\n",
    "genes_up <- rownames(list_ea$df_up)\n",
    "genes_dn <- rownames(list_ea$df_dn)\n",
    "list_genes_dn[[\"Epi\"]] <- genes_dn\n",
    "\n",
    "if (f_featureplot) {\n",
    "    gg <- featureplot_enrichment_analysis(rna,\n",
    "                list_ea,\n",
    "                str_condition_tmp)\n",
    "}\n",
    "\n",
    "list_out_heatmap <- heatmap_enrichment_analysis(list_markers,\n",
    "                    list_ea,\n",
    "                    str_condition_tmp,\n",
    "                    pattern_gene_removal=\"^MT-|^RPS|^RPL\",\n",
    "                    max_up=5, max_dn=5,\n",
    "                    n_sampling=n_sampling,\n",
    "                    cluster_rows=cluster_rows)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c187225b",
   "metadata": {},
   "source": [
    "## cluster 2 vs. cluster 19"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e3196083",
   "metadata": {},
   "outputs": [],
   "source": [
    "# tumor pairs with large differences\n",
    "\n",
    "sample1 <- NULL\n",
    "sample_ref <- NULL\n",
    "\n",
    "th_log2fc_=0.25; th_padj_=0.01\n",
    "min.pct_=0.25; min.diff.pct_=-Inf; max.cells.per.ident_=Inf\n",
    "\n",
    "f_featureplot=FALSE\n",
    "n_sampling=-1\n",
    "cluster_rows=FALSE\n",
    "\n",
    "pattern_sample1 <- \"Tamoxifen\"\n",
    "pattern_sample_ref <- \"Tamoxifen\"\n",
    "\n",
    "drug_name <- \"tamoxifen\"\n",
    "\n",
    "#clusters1 <- c(3)  # 2 vs. 3 LumA, n=865\n",
    "#clusters1 <- c(12)  # 2 vs. 12 LumA, n=345\n",
    "#clusters1 <- c(3,12)  # 2 vs. (3+12) LumA, n=1210\n",
    "clusters1 <- c(19)  # 2 vs. 19 LumB, n=100\n",
    "\n",
    "clusters_ref <- c(2) # reponsive, n=2100\n",
    "\n",
    "group_name1 <- sprintf(\"cluster%s\", paste(clusters1, collapse=\",\"))\n",
    "group_name_ref <- sprintf(\"cluster%s\", paste(clusters_ref, collapse=\",\"))\n",
    "\n",
    "col_cluster_types_ <- NULL\n",
    "col_cell_types_ <- \"cell.type\"\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "9f149986",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "drug_name=tamoxifen\n",
      "pattern_sample1=Tamoxifen\n",
      "pattern_sample_ref=Tamoxifen\n",
      "\t\tgroup_name1=cluster19\n",
      "\t\tgroup_name_ref=cluster2\n",
      "\t\tcol_cell_types_=cell.type\n",
      "\t\tth_log2fc=0.25\n",
      "\t\tth_padj=0.01\n",
      "\t\tmin.pct=0.25\n",
      "\t\tmin.diff.pct=-Inf\n",
      "\t\tmax.cells.per.ident=Inf\n",
      "\t\tmethod_dge=seurat_findmarkers_enricher\n",
      "\t\ttype_condition=none\n",
      "\t\tgenes=\n"
     ]
    }
   ],
   "source": [
    "\n",
    "cat(sprintf(\"sample1=%s\\n\", sample1))\n",
    "cat(sprintf(\"sample_ref=%s\\n\", sample_ref))\n",
    "\n",
    "cat(sprintf(\"drug_name=%s\\n\", drug_name))\n",
    "cat(sprintf(\"pattern_sample1=%s\\n\", pattern_sample1))\n",
    "cat(sprintf(\"pattern_sample_ref=%s\\n\", pattern_sample_ref))\n",
    "\n",
    "    cat(sprintf(\"\\t\\tgroup_name1=%s\\n\", group_name1))\n",
    "    cat(sprintf(\"\\t\\tgroup_name_ref=%s\\n\", group_name_ref))\n",
    "    cat(sprintf(\"\\t\\tcol_cluster_types_=%s\\n\", col_cluster_types_))\n",
    "    cat(sprintf(\"\\t\\tcol_cell_types_=%s\\n\", col_cell_types_))\n",
    "\n",
    "    cat(sprintf(\"\\t\\tth_log2fc=%g\\n\", th_log2fc_))\n",
    "    cat(sprintf(\"\\t\\tth_padj=%g\\n\", th_padj_))\n",
    "    cat(sprintf(\"\\t\\tmin.pct=%g\\n\", min.pct_))\n",
    "    cat(sprintf(\"\\t\\tmin.diff.pct=%g\\n\", min.diff.pct_))\n",
    "    cat(sprintf(\"\\t\\tmax.cells.per.ident=%g\\n\", max.cells.per.ident_))\n",
    "    cat(sprintf(\"\\t\\tmethod_dge=%s\\n\", method_dge))\n",
    "\n",
    "    cat(sprintf(\"\\t\\ttype_condition=%s\\n\", type_condition))\n",
    "    cat(sprintf(\"\\t\\tgenes=%s\\n\", paste(genes, collapse=\", \")))\n",
    "    cat(sprintf(\"\\t\\tstr_cond1=%s\\n\", str_cond1))\n",
    "    cat(sprintf(\"\\t\\tstr_cond_ref=%s\\n\", str_cond_ref))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b972b452",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "seurat_findmarkers_enricher<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;col_log2fc=avg_log2FC<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;col_pvalue=p_val<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;col_padj=p_val_adj<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;th_log2fc=0.25<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;th_padj=0.01<br>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "df_up"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>p_val</th><th scope=col>avg_log2FC</th><th scope=col>pct.1</th><th scope=col>pct.2</th><th scope=col>p_val_adj</th><th scope=col>expr_min</th><th scope=col>expr_mean</th><th scope=col>expr_max</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>TOP2A</th><td> 0.000000e+00</td><td>1.1593298</td><td>0.879</td><td>0.006</td><td> 0.000000e+00</td><td> 0.0000000</td><td>0.6901799</td><td>1.926897</td></tr>\n",
       "\t<tr><th scope=row>CDK1</th><td>4.990633e-295</td><td>0.7414686</td><td>0.758</td><td>0.005</td><td>1.213023e-290</td><td> 0.0000000</td><td>0.4399324</td><td>1.545767</td></tr>\n",
       "\t<tr><th scope=row>MKI67</th><td>5.111039e-279</td><td>0.9043770</td><td>0.736</td><td>0.006</td><td>1.242289e-274</td><td> 0.0000000</td><td>0.5036200</td><td>1.937559</td></tr>\n",
       "\t<tr><th scope=row>UBE2C</th><td>4.385772e-273</td><td>1.3403507</td><td>0.780</td><td>0.007</td><td>1.066006e-268</td><td>-0.1252316</td><td>0.7045849</td><td>2.829597</td></tr>\n",
       "\t<tr><th scope=row>TPX2</th><td>3.843025e-228</td><td>0.9929080</td><td>0.780</td><td>0.019</td><td>9.340858e-224</td><td> 0.0000000</td><td>0.5825409</td><td>1.611600</td></tr>\n",
       "\t<tr><th scope=row>BIRC5</th><td>1.418652e-226</td><td>0.6672713</td><td>0.769</td><td>0.007</td><td>3.448175e-222</td><td>-0.2148748</td><td>0.3977608</td><td>1.383496</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 8\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & p\\_val & avg\\_log2FC & pct.1 & pct.2 & p\\_val\\_adj & expr\\_min & expr\\_mean & expr\\_max\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tTOP2A &  0.000000e+00 & 1.1593298 & 0.879 & 0.006 &  0.000000e+00 &  0.0000000 & 0.6901799 & 1.926897\\\\\n",
       "\tCDK1 & 4.990633e-295 & 0.7414686 & 0.758 & 0.005 & 1.213023e-290 &  0.0000000 & 0.4399324 & 1.545767\\\\\n",
       "\tMKI67 & 5.111039e-279 & 0.9043770 & 0.736 & 0.006 & 1.242289e-274 &  0.0000000 & 0.5036200 & 1.937559\\\\\n",
       "\tUBE2C & 4.385772e-273 & 1.3403507 & 0.780 & 0.007 & 1.066006e-268 & -0.1252316 & 0.7045849 & 2.829597\\\\\n",
       "\tTPX2 & 3.843025e-228 & 0.9929080 & 0.780 & 0.019 & 9.340858e-224 &  0.0000000 & 0.5825409 & 1.611600\\\\\n",
       "\tBIRC5 & 1.418652e-226 & 0.6672713 & 0.769 & 0.007 & 3.448175e-222 & -0.2148748 & 0.3977608 & 1.383496\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 8\n",
       "\n",
       "| <!--/--> | p_val &lt;dbl&gt; | avg_log2FC &lt;dbl&gt; | pct.1 &lt;dbl&gt; | pct.2 &lt;dbl&gt; | p_val_adj &lt;dbl&gt; | expr_min &lt;dbl&gt; | expr_mean &lt;dbl&gt; | expr_max &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| TOP2A |  0.000000e+00 | 1.1593298 | 0.879 | 0.006 |  0.000000e+00 |  0.0000000 | 0.6901799 | 1.926897 |\n",
       "| CDK1 | 4.990633e-295 | 0.7414686 | 0.758 | 0.005 | 1.213023e-290 |  0.0000000 | 0.4399324 | 1.545767 |\n",
       "| MKI67 | 5.111039e-279 | 0.9043770 | 0.736 | 0.006 | 1.242289e-274 |  0.0000000 | 0.5036200 | 1.937559 |\n",
       "| UBE2C | 4.385772e-273 | 1.3403507 | 0.780 | 0.007 | 1.066006e-268 | -0.1252316 | 0.7045849 | 2.829597 |\n",
       "| TPX2 | 3.843025e-228 | 0.9929080 | 0.780 | 0.019 | 9.340858e-224 |  0.0000000 | 0.5825409 | 1.611600 |\n",
       "| BIRC5 | 1.418652e-226 | 0.6672713 | 0.769 | 0.007 | 3.448175e-222 | -0.2148748 | 0.3977608 | 1.383496 |\n",
       "\n"
      ],
      "text/plain": [
       "      p_val         avg_log2FC pct.1 pct.2 p_val_adj     expr_min   expr_mean\n",
       "TOP2A  0.000000e+00 1.1593298  0.879 0.006  0.000000e+00  0.0000000 0.6901799\n",
       "CDK1  4.990633e-295 0.7414686  0.758 0.005 1.213023e-290  0.0000000 0.4399324\n",
       "MKI67 5.111039e-279 0.9043770  0.736 0.006 1.242289e-274  0.0000000 0.5036200\n",
       "UBE2C 4.385772e-273 1.3403507  0.780 0.007 1.066006e-268 -0.1252316 0.7045849\n",
       "TPX2  3.843025e-228 0.9929080  0.780 0.019 9.340858e-224  0.0000000 0.5825409\n",
       "BIRC5 1.418652e-226 0.6672713  0.769 0.007 3.448175e-222 -0.2148748 0.3977608\n",
       "      expr_max\n",
       "TOP2A 1.926897\n",
       "CDK1  1.545767\n",
       "MKI67 1.937559\n",
       "UBE2C 2.829597\n",
       "TPX2  1.611600\n",
       "BIRC5 1.383496"
      ]
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       "<ol class=list-inline><li>418</li><li>8</li></ol>\n"
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       "\\begin{enumerate*}\n",
       "\\item 418\n",
       "\\item 8\n",
       "\\end{enumerate*}\n"
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       "1. 418\n",
       "2. 8\n",
       "\n",
       "\n"
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       "[1] 418   8"
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     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>p_val</th><th scope=col>avg_log2FC</th><th scope=col>pct.1</th><th scope=col>pct.2</th><th scope=col>p_val_adj</th><th scope=col>expr_min</th><th scope=col>expr_mean</th><th scope=col>expr_max</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>MTRNR2L8</th><td>2.210859e-33</td><td>-1.6140513</td><td>0.549</td><td>1.000</td><td>5.373713e-29</td><td>0.000000</td><td>1.2683929</td><td>3.246989</td></tr>\n",
       "\t<tr><th scope=row>NUPR1</th><td>8.225728e-28</td><td>-1.1553518</td><td>0.648</td><td>1.000</td><td>1.999346e-23</td><td>0.000000</td><td>1.6534718</td><td>3.398099</td></tr>\n",
       "\t<tr><th scope=row>PDIA3</th><td>3.311991e-26</td><td>-0.9265955</td><td>0.890</td><td>0.976</td><td>8.050126e-22</td><td>0.000000</td><td>0.9399822</td><td>1.924883</td></tr>\n",
       "\t<tr><th scope=row>SERP1</th><td>1.753406e-25</td><td>-0.7642184</td><td>1.000</td><td>0.998</td><td>4.261830e-21</td><td>1.122851</td><td>2.1751693</td><td>3.015434</td></tr>\n",
       "\t<tr><th scope=row>HSPA5</th><td>2.985320e-25</td><td>-1.1131688</td><td>0.868</td><td>0.998</td><td>7.256120e-21</td><td>0.000000</td><td>1.6558417</td><td>4.022385</td></tr>\n",
       "\t<tr><th scope=row>SNHG8</th><td>5.763676e-24</td><td>-1.0162771</td><td>0.846</td><td>0.994</td><td>1.400919e-19</td><td>0.000000</td><td>1.4529309</td><td>2.854998</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 8\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & p\\_val & avg\\_log2FC & pct.1 & pct.2 & p\\_val\\_adj & expr\\_min & expr\\_mean & expr\\_max\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tMTRNR2L8 & 2.210859e-33 & -1.6140513 & 0.549 & 1.000 & 5.373713e-29 & 0.000000 & 1.2683929 & 3.246989\\\\\n",
       "\tNUPR1 & 8.225728e-28 & -1.1553518 & 0.648 & 1.000 & 1.999346e-23 & 0.000000 & 1.6534718 & 3.398099\\\\\n",
       "\tPDIA3 & 3.311991e-26 & -0.9265955 & 0.890 & 0.976 & 8.050126e-22 & 0.000000 & 0.9399822 & 1.924883\\\\\n",
       "\tSERP1 & 1.753406e-25 & -0.7642184 & 1.000 & 0.998 & 4.261830e-21 & 1.122851 & 2.1751693 & 3.015434\\\\\n",
       "\tHSPA5 & 2.985320e-25 & -1.1131688 & 0.868 & 0.998 & 7.256120e-21 & 0.000000 & 1.6558417 & 4.022385\\\\\n",
       "\tSNHG8 & 5.763676e-24 & -1.0162771 & 0.846 & 0.994 & 1.400919e-19 & 0.000000 & 1.4529309 & 2.854998\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 8\n",
       "\n",
       "| <!--/--> | p_val &lt;dbl&gt; | avg_log2FC &lt;dbl&gt; | pct.1 &lt;dbl&gt; | pct.2 &lt;dbl&gt; | p_val_adj &lt;dbl&gt; | expr_min &lt;dbl&gt; | expr_mean &lt;dbl&gt; | expr_max &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| MTRNR2L8 | 2.210859e-33 | -1.6140513 | 0.549 | 1.000 | 5.373713e-29 | 0.000000 | 1.2683929 | 3.246989 |\n",
       "| NUPR1 | 8.225728e-28 | -1.1553518 | 0.648 | 1.000 | 1.999346e-23 | 0.000000 | 1.6534718 | 3.398099 |\n",
       "| PDIA3 | 3.311991e-26 | -0.9265955 | 0.890 | 0.976 | 8.050126e-22 | 0.000000 | 0.9399822 | 1.924883 |\n",
       "| SERP1 | 1.753406e-25 | -0.7642184 | 1.000 | 0.998 | 4.261830e-21 | 1.122851 | 2.1751693 | 3.015434 |\n",
       "| HSPA5 | 2.985320e-25 | -1.1131688 | 0.868 | 0.998 | 7.256120e-21 | 0.000000 | 1.6558417 | 4.022385 |\n",
       "| SNHG8 | 5.763676e-24 | -1.0162771 | 0.846 | 0.994 | 1.400919e-19 | 0.000000 | 1.4529309 | 2.854998 |\n",
       "\n"
      ],
      "text/plain": [
       "         p_val        avg_log2FC pct.1 pct.2 p_val_adj    expr_min expr_mean\n",
       "MTRNR2L8 2.210859e-33 -1.6140513 0.549 1.000 5.373713e-29 0.000000 1.2683929\n",
       "NUPR1    8.225728e-28 -1.1553518 0.648 1.000 1.999346e-23 0.000000 1.6534718\n",
       "PDIA3    3.311991e-26 -0.9265955 0.890 0.976 8.050126e-22 0.000000 0.9399822\n",
       "SERP1    1.753406e-25 -0.7642184 1.000 0.998 4.261830e-21 1.122851 2.1751693\n",
       "HSPA5    2.985320e-25 -1.1131688 0.868 0.998 7.256120e-21 0.000000 1.6558417\n",
       "SNHG8    5.763676e-24 -1.0162771 0.846 0.994 1.400919e-19 0.000000 1.4529309\n",
       "         expr_max\n",
       "MTRNR2L8 3.246989\n",
       "NUPR1    3.398099\n",
       "PDIA3    1.924883\n",
       "SERP1    3.015434\n",
       "HSPA5    4.022385\n",
       "SNHG8    2.854998"
      ]
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       "<ol class=list-inline><li>188</li><li>8</li></ol>\n"
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       "\\begin{enumerate*}\n",
       "\\item 188\n",
       "\\item 8\n",
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       "1. 188\n",
       "2. 8\n",
       "\n",
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       "[1] 188   8"
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       "up h"
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     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>HALLMARK_G2M_CHECKPOINT</th><td>HALLMARK_G2M_CHECKPOINT  </td><td>HALLMARK_G2M_CHECKPOINT  </td><td>62/249</td><td>200/4386</td><td>1.767233e-31</td><td>8.305996e-30</td><td>7.254957e-30</td><td>TOP2A/CDK1/MKI67/UBE2C/TPX2/BIRC5/CENPF/NEK2/PRC1/MYBL2/PBK/TROAP/KIF4A/KIF11/CCNB2/CDC20/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/KIF23/NUSAP1/CENPA/ORC6/RACGAP1/CHEK1/PLK1/AURKA/PTTG1/CKS2/KIF20B/BARD1/CENPE/HMGB3/STMN1/CDC25B/SMC4/UBE2S/SMC2/MCM3/HIF1A/TMPO/HMGN2/CCND1/DTYMK/CDKN3/SNRPD1/H2AFZ/SAP30/SLC12A2/SRSF2/ODC1/KPNA2/BCL3/XPO1/TFDP1/H2AFV/HSPA8/NASP/SFPQ/CKS1B</td><td>62</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_E2F_TARGETS</th><td>HALLMARK_E2F_TARGETS     </td><td>HALLMARK_E2F_TARGETS     </td><td>61/249</td><td>200/4386</td><td>1.682299e-30</td><td>3.953403e-29</td><td>3.453141e-29</td><td>TOP2A/CDK1/MKI67/BIRC5/SPC25/MYBL2/KIF4A/UBE2T/DIAPH3/CCNB2/CDC20/MAD2L1/KIF2C/HMMR/RRM2/TK1/HELLS/RAD51AP1/ORC6/RACGAP1/CHEK1/PLK1/AURKA/ATAD2/PTTG1/CKS2/HMGB2/BARD1/CENPE/RFC3/HMGB3/STMN1/CDCA8/BRCA1/CDC25B/DUT/SMC4/UBE2S/MCM3/TMPO/ANP32E/CDKN3/H2AFZ/CSE1L/RPA3/RANBP1/CENPM/TUBG1/TUBB/SRSF2/RAN/KPNA2/NME1/SNRPB/XPO1/PCNA/PA2G4/MCM4/NASP/CKS1B/DNMT1        </td><td>61</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MYC_TARGETS_V1</th><td>HALLMARK_MYC_TARGETS_V1  </td><td>HALLMARK_MYC_TARGETS_V1  </td><td>40/249</td><td>200/4386</td><td>5.295716e-13</td><td>8.296622e-12</td><td>7.246769e-12</td><td>CDC20/MAD2L1/CCNA2/TYMS/DUT/RRM1/SNRPD1/H2AFZ/PPIA/HNRNPA2B1/RANBP1/PSMA7/SRSF2/RAN/CBX3/SRSF3/ODC1/KPNA2/PSMB3/LDHA/NME1/SRSF7/PSMA4/PSMA2/XPO1/COX5A/CCT2/PCNA/PSMD1/LSM2/SSBP1/TFDP1/ERH/PA2G4/C1QBP/HDAC2/MCM4/SNRPD2/HSPE1/SET                                                                                                                                     </td><td>40</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MITOTIC_SPINDLE</th><td>HALLMARK_MITOTIC_SPINDLE </td><td>HALLMARK_MITOTIC_SPINDLE </td><td>28/249</td><td>200/4386</td><td>5.671408e-06</td><td>6.663904e-05</td><td>5.820655e-05</td><td>TOP2A/CDK1/TPX2/BIRC5/ANLN/CENPF/NEK2/PRC1/KIF4A/KIF11/CCNB2/KIF2C/KIF23/NUSAP1/RACGAP1/PLK1/AURKA/KIF20B/CENPE/ECT2/SMC4/NET1/CDC42EP4/FLNA/CKAP5/PDLIM5/SSH2/ARF6                                                                                                                                                                                                     </td><td>28</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MTORC1_SIGNALING</th><td>HALLMARK_MTORC1_SIGNALING</td><td>HALLMARK_MTORC1_SIGNALING</td><td>22/249</td><td>200/4386</td><td>1.882983e-03</td><td>1.770004e-02</td><td>1.546028e-02</td><td>RRM2/PLK1/AURKA/PLOD2/GAPDH/STC1/PPIA/EGLN3/CCT6A/TPI1/TUBG1/CACYBP/XBP1/LDHA/PSMA4/ENO1/GLRX/MCM4/PRDX1/HSPE1/CD9/STIP1                                                                                                                                                                                                                                                </td><td>22</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_GLYCOLYSIS</th><td>HALLMARK_GLYCOLYSIS      </td><td>HALLMARK_GLYCOLYSIS      </td><td>21/249</td><td>200/4386</td><td>4.180734e-03</td><td>3.274908e-02</td><td>2.860502e-02</td><td>CDK1/HMMR/CENPA/AURKA/PLOD2/STMN1/TXN/STC1/PPIA/EGLN3/SAP30/TPI1/MIF/GALK1/LDHA/ENO1/GLRX/PGAM1/NASP/FUT8/FKBP4                                                                                                                                                                                                                                                         </td><td>21</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tHALLMARK\\_G2M\\_CHECKPOINT & HALLMARK\\_G2M\\_CHECKPOINT   & HALLMARK\\_G2M\\_CHECKPOINT   & 62/249 & 200/4386 & 1.767233e-31 & 8.305996e-30 & 7.254957e-30 & TOP2A/CDK1/MKI67/UBE2C/TPX2/BIRC5/CENPF/NEK2/PRC1/MYBL2/PBK/TROAP/KIF4A/KIF11/CCNB2/CDC20/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/KIF23/NUSAP1/CENPA/ORC6/RACGAP1/CHEK1/PLK1/AURKA/PTTG1/CKS2/KIF20B/BARD1/CENPE/HMGB3/STMN1/CDC25B/SMC4/UBE2S/SMC2/MCM3/HIF1A/TMPO/HMGN2/CCND1/DTYMK/CDKN3/SNRPD1/H2AFZ/SAP30/SLC12A2/SRSF2/ODC1/KPNA2/BCL3/XPO1/TFDP1/H2AFV/HSPA8/NASP/SFPQ/CKS1B & 62\\\\\n",
       "\tHALLMARK\\_E2F\\_TARGETS & HALLMARK\\_E2F\\_TARGETS      & HALLMARK\\_E2F\\_TARGETS      & 61/249 & 200/4386 & 1.682299e-30 & 3.953403e-29 & 3.453141e-29 & TOP2A/CDK1/MKI67/BIRC5/SPC25/MYBL2/KIF4A/UBE2T/DIAPH3/CCNB2/CDC20/MAD2L1/KIF2C/HMMR/RRM2/TK1/HELLS/RAD51AP1/ORC6/RACGAP1/CHEK1/PLK1/AURKA/ATAD2/PTTG1/CKS2/HMGB2/BARD1/CENPE/RFC3/HMGB3/STMN1/CDCA8/BRCA1/CDC25B/DUT/SMC4/UBE2S/MCM3/TMPO/ANP32E/CDKN3/H2AFZ/CSE1L/RPA3/RANBP1/CENPM/TUBG1/TUBB/SRSF2/RAN/KPNA2/NME1/SNRPB/XPO1/PCNA/PA2G4/MCM4/NASP/CKS1B/DNMT1         & 61\\\\\n",
       "\tHALLMARK\\_MYC\\_TARGETS\\_V1 & HALLMARK\\_MYC\\_TARGETS\\_V1   & HALLMARK\\_MYC\\_TARGETS\\_V1   & 40/249 & 200/4386 & 5.295716e-13 & 8.296622e-12 & 7.246769e-12 & CDC20/MAD2L1/CCNA2/TYMS/DUT/RRM1/SNRPD1/H2AFZ/PPIA/HNRNPA2B1/RANBP1/PSMA7/SRSF2/RAN/CBX3/SRSF3/ODC1/KPNA2/PSMB3/LDHA/NME1/SRSF7/PSMA4/PSMA2/XPO1/COX5A/CCT2/PCNA/PSMD1/LSM2/SSBP1/TFDP1/ERH/PA2G4/C1QBP/HDAC2/MCM4/SNRPD2/HSPE1/SET                                                                                                                                      & 40\\\\\n",
       "\tHALLMARK\\_MITOTIC\\_SPINDLE & HALLMARK\\_MITOTIC\\_SPINDLE  & HALLMARK\\_MITOTIC\\_SPINDLE  & 28/249 & 200/4386 & 5.671408e-06 & 6.663904e-05 & 5.820655e-05 & TOP2A/CDK1/TPX2/BIRC5/ANLN/CENPF/NEK2/PRC1/KIF4A/KIF11/CCNB2/KIF2C/KIF23/NUSAP1/RACGAP1/PLK1/AURKA/KIF20B/CENPE/ECT2/SMC4/NET1/CDC42EP4/FLNA/CKAP5/PDLIM5/SSH2/ARF6                                                                                                                                                                                                      & 28\\\\\n",
       "\tHALLMARK\\_MTORC1\\_SIGNALING & HALLMARK\\_MTORC1\\_SIGNALING & HALLMARK\\_MTORC1\\_SIGNALING & 22/249 & 200/4386 & 1.882983e-03 & 1.770004e-02 & 1.546028e-02 & RRM2/PLK1/AURKA/PLOD2/GAPDH/STC1/PPIA/EGLN3/CCT6A/TPI1/TUBG1/CACYBP/XBP1/LDHA/PSMA4/ENO1/GLRX/MCM4/PRDX1/HSPE1/CD9/STIP1                                                                                                                                                                                                                                                 & 22\\\\\n",
       "\tHALLMARK\\_GLYCOLYSIS & HALLMARK\\_GLYCOLYSIS       & HALLMARK\\_GLYCOLYSIS       & 21/249 & 200/4386 & 4.180734e-03 & 3.274908e-02 & 2.860502e-02 & CDK1/HMMR/CENPA/AURKA/PLOD2/STMN1/TXN/STC1/PPIA/EGLN3/SAP30/TPI1/MIF/GALK1/LDHA/ENO1/GLRX/PGAM1/NASP/FUT8/FKBP4                                                                                                                                                                                                                                                          & 21\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| HALLMARK_G2M_CHECKPOINT | HALLMARK_G2M_CHECKPOINT   | HALLMARK_G2M_CHECKPOINT   | 62/249 | 200/4386 | 1.767233e-31 | 8.305996e-30 | 7.254957e-30 | TOP2A/CDK1/MKI67/UBE2C/TPX2/BIRC5/CENPF/NEK2/PRC1/MYBL2/PBK/TROAP/KIF4A/KIF11/CCNB2/CDC20/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/KIF23/NUSAP1/CENPA/ORC6/RACGAP1/CHEK1/PLK1/AURKA/PTTG1/CKS2/KIF20B/BARD1/CENPE/HMGB3/STMN1/CDC25B/SMC4/UBE2S/SMC2/MCM3/HIF1A/TMPO/HMGN2/CCND1/DTYMK/CDKN3/SNRPD1/H2AFZ/SAP30/SLC12A2/SRSF2/ODC1/KPNA2/BCL3/XPO1/TFDP1/H2AFV/HSPA8/NASP/SFPQ/CKS1B | 62 |\n",
       "| HALLMARK_E2F_TARGETS | HALLMARK_E2F_TARGETS      | HALLMARK_E2F_TARGETS      | 61/249 | 200/4386 | 1.682299e-30 | 3.953403e-29 | 3.453141e-29 | TOP2A/CDK1/MKI67/BIRC5/SPC25/MYBL2/KIF4A/UBE2T/DIAPH3/CCNB2/CDC20/MAD2L1/KIF2C/HMMR/RRM2/TK1/HELLS/RAD51AP1/ORC6/RACGAP1/CHEK1/PLK1/AURKA/ATAD2/PTTG1/CKS2/HMGB2/BARD1/CENPE/RFC3/HMGB3/STMN1/CDCA8/BRCA1/CDC25B/DUT/SMC4/UBE2S/MCM3/TMPO/ANP32E/CDKN3/H2AFZ/CSE1L/RPA3/RANBP1/CENPM/TUBG1/TUBB/SRSF2/RAN/KPNA2/NME1/SNRPB/XPO1/PCNA/PA2G4/MCM4/NASP/CKS1B/DNMT1         | 61 |\n",
       "| HALLMARK_MYC_TARGETS_V1 | HALLMARK_MYC_TARGETS_V1   | HALLMARK_MYC_TARGETS_V1   | 40/249 | 200/4386 | 5.295716e-13 | 8.296622e-12 | 7.246769e-12 | CDC20/MAD2L1/CCNA2/TYMS/DUT/RRM1/SNRPD1/H2AFZ/PPIA/HNRNPA2B1/RANBP1/PSMA7/SRSF2/RAN/CBX3/SRSF3/ODC1/KPNA2/PSMB3/LDHA/NME1/SRSF7/PSMA4/PSMA2/XPO1/COX5A/CCT2/PCNA/PSMD1/LSM2/SSBP1/TFDP1/ERH/PA2G4/C1QBP/HDAC2/MCM4/SNRPD2/HSPE1/SET                                                                                                                                      | 40 |\n",
       "| HALLMARK_MITOTIC_SPINDLE | HALLMARK_MITOTIC_SPINDLE  | HALLMARK_MITOTIC_SPINDLE  | 28/249 | 200/4386 | 5.671408e-06 | 6.663904e-05 | 5.820655e-05 | TOP2A/CDK1/TPX2/BIRC5/ANLN/CENPF/NEK2/PRC1/KIF4A/KIF11/CCNB2/KIF2C/KIF23/NUSAP1/RACGAP1/PLK1/AURKA/KIF20B/CENPE/ECT2/SMC4/NET1/CDC42EP4/FLNA/CKAP5/PDLIM5/SSH2/ARF6                                                                                                                                                                                                      | 28 |\n",
       "| HALLMARK_MTORC1_SIGNALING | HALLMARK_MTORC1_SIGNALING | HALLMARK_MTORC1_SIGNALING | 22/249 | 200/4386 | 1.882983e-03 | 1.770004e-02 | 1.546028e-02 | RRM2/PLK1/AURKA/PLOD2/GAPDH/STC1/PPIA/EGLN3/CCT6A/TPI1/TUBG1/CACYBP/XBP1/LDHA/PSMA4/ENO1/GLRX/MCM4/PRDX1/HSPE1/CD9/STIP1                                                                                                                                                                                                                                                 | 22 |\n",
       "| HALLMARK_GLYCOLYSIS | HALLMARK_GLYCOLYSIS       | HALLMARK_GLYCOLYSIS       | 21/249 | 200/4386 | 4.180734e-03 | 3.274908e-02 | 2.860502e-02 | CDK1/HMMR/CENPA/AURKA/PLOD2/STMN1/TXN/STC1/PPIA/EGLN3/SAP30/TPI1/MIF/GALK1/LDHA/ENO1/GLRX/PGAM1/NASP/FUT8/FKBP4                                                                                                                                                                                                                                                          | 21 |\n",
       "\n"
      ],
      "text/plain": [
       "                          ID                        Description              \n",
       "HALLMARK_G2M_CHECKPOINT   HALLMARK_G2M_CHECKPOINT   HALLMARK_G2M_CHECKPOINT  \n",
       "HALLMARK_E2F_TARGETS      HALLMARK_E2F_TARGETS      HALLMARK_E2F_TARGETS     \n",
       "HALLMARK_MYC_TARGETS_V1   HALLMARK_MYC_TARGETS_V1   HALLMARK_MYC_TARGETS_V1  \n",
       "HALLMARK_MITOTIC_SPINDLE  HALLMARK_MITOTIC_SPINDLE  HALLMARK_MITOTIC_SPINDLE \n",
       "HALLMARK_MTORC1_SIGNALING HALLMARK_MTORC1_SIGNALING HALLMARK_MTORC1_SIGNALING\n",
       "HALLMARK_GLYCOLYSIS       HALLMARK_GLYCOLYSIS       HALLMARK_GLYCOLYSIS      \n",
       "                          GeneRatio BgRatio  pvalue       p.adjust    \n",
       "HALLMARK_G2M_CHECKPOINT   62/249    200/4386 1.767233e-31 8.305996e-30\n",
       "HALLMARK_E2F_TARGETS      61/249    200/4386 1.682299e-30 3.953403e-29\n",
       "HALLMARK_MYC_TARGETS_V1   40/249    200/4386 5.295716e-13 8.296622e-12\n",
       "HALLMARK_MITOTIC_SPINDLE  28/249    200/4386 5.671408e-06 6.663904e-05\n",
       "HALLMARK_MTORC1_SIGNALING 22/249    200/4386 1.882983e-03 1.770004e-02\n",
       "HALLMARK_GLYCOLYSIS       21/249    200/4386 4.180734e-03 3.274908e-02\n",
       "                          qvalue      \n",
       "HALLMARK_G2M_CHECKPOINT   7.254957e-30\n",
       "HALLMARK_E2F_TARGETS      3.453141e-29\n",
       "HALLMARK_MYC_TARGETS_V1   7.246769e-12\n",
       "HALLMARK_MITOTIC_SPINDLE  5.820655e-05\n",
       "HALLMARK_MTORC1_SIGNALING 1.546028e-02\n",
       "HALLMARK_GLYCOLYSIS       2.860502e-02\n",
       "                          geneID                                                                                                                                                                                                                                                                                                                                                                  \n",
       "HALLMARK_G2M_CHECKPOINT   TOP2A/CDK1/MKI67/UBE2C/TPX2/BIRC5/CENPF/NEK2/PRC1/MYBL2/PBK/TROAP/KIF4A/KIF11/CCNB2/CDC20/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/KIF23/NUSAP1/CENPA/ORC6/RACGAP1/CHEK1/PLK1/AURKA/PTTG1/CKS2/KIF20B/BARD1/CENPE/HMGB3/STMN1/CDC25B/SMC4/UBE2S/SMC2/MCM3/HIF1A/TMPO/HMGN2/CCND1/DTYMK/CDKN3/SNRPD1/H2AFZ/SAP30/SLC12A2/SRSF2/ODC1/KPNA2/BCL3/XPO1/TFDP1/H2AFV/HSPA8/NASP/SFPQ/CKS1B\n",
       "HALLMARK_E2F_TARGETS      TOP2A/CDK1/MKI67/BIRC5/SPC25/MYBL2/KIF4A/UBE2T/DIAPH3/CCNB2/CDC20/MAD2L1/KIF2C/HMMR/RRM2/TK1/HELLS/RAD51AP1/ORC6/RACGAP1/CHEK1/PLK1/AURKA/ATAD2/PTTG1/CKS2/HMGB2/BARD1/CENPE/RFC3/HMGB3/STMN1/CDCA8/BRCA1/CDC25B/DUT/SMC4/UBE2S/MCM3/TMPO/ANP32E/CDKN3/H2AFZ/CSE1L/RPA3/RANBP1/CENPM/TUBG1/TUBB/SRSF2/RAN/KPNA2/NME1/SNRPB/XPO1/PCNA/PA2G4/MCM4/NASP/CKS1B/DNMT1        \n",
       "HALLMARK_MYC_TARGETS_V1   CDC20/MAD2L1/CCNA2/TYMS/DUT/RRM1/SNRPD1/H2AFZ/PPIA/HNRNPA2B1/RANBP1/PSMA7/SRSF2/RAN/CBX3/SRSF3/ODC1/KPNA2/PSMB3/LDHA/NME1/SRSF7/PSMA4/PSMA2/XPO1/COX5A/CCT2/PCNA/PSMD1/LSM2/SSBP1/TFDP1/ERH/PA2G4/C1QBP/HDAC2/MCM4/SNRPD2/HSPE1/SET                                                                                                                                     \n",
       "HALLMARK_MITOTIC_SPINDLE  TOP2A/CDK1/TPX2/BIRC5/ANLN/CENPF/NEK2/PRC1/KIF4A/KIF11/CCNB2/KIF2C/KIF23/NUSAP1/RACGAP1/PLK1/AURKA/KIF20B/CENPE/ECT2/SMC4/NET1/CDC42EP4/FLNA/CKAP5/PDLIM5/SSH2/ARF6                                                                                                                                                                                                     \n",
       "HALLMARK_MTORC1_SIGNALING RRM2/PLK1/AURKA/PLOD2/GAPDH/STC1/PPIA/EGLN3/CCT6A/TPI1/TUBG1/CACYBP/XBP1/LDHA/PSMA4/ENO1/GLRX/MCM4/PRDX1/HSPE1/CD9/STIP1                                                                                                                                                                                                                                                \n",
       "HALLMARK_GLYCOLYSIS       CDK1/HMMR/CENPA/AURKA/PLOD2/STMN1/TXN/STC1/PPIA/EGLN3/SAP30/TPI1/MIF/GALK1/LDHA/ENO1/GLRX/PGAM1/NASP/FUT8/FKBP4                                                                                                                                                                                                                                                         \n",
       "                          Count\n",
       "HALLMARK_G2M_CHECKPOINT   62   \n",
       "HALLMARK_E2F_TARGETS      61   \n",
       "HALLMARK_MYC_TARGETS_V1   40   \n",
       "HALLMARK_MITOTIC_SPINDLE  28   \n",
       "HALLMARK_MTORC1_SIGNALING 22   \n",
       "HALLMARK_GLYCOLYSIS       21   "
      ]
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       "</style>\n",
       "<ol class=list-inline><li>6</li><li>9</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 6\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
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       "1. 6\n",
       "2. 9\n",
       "\n",
       "\n"
      ],
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       "[1] 6 9"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380</th><td>Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380</td><td>Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380</td><td>103/410</td><td>354/19993</td><td>6.765447e-91</td><td>2.415265e-88</td><td>1.630829e-88</td><td>TOP2A/CDK1/MKI67/UBE2C/TPX2/BIRC5/ANLN/PCLAF/CENPF/IQGAP3/NEK2/SPC25/PRC1/MYBL2/ZWINT/PBK/SHCBP1/PKMYT1/FAM83D/TROAP/KIF4A/UBE2T/ASPM/KIF11/DIAPH3/CENPK/CEP55/CCNB2/CDC20/KNL1/NCAPH/NUF2/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/HELLS/RAD51AP1/CENPW/ORC6/RACGAP1/CCNB1/CENPU/CHEK1/PLK1/AURKA/ATAD2/GTSE1/PTTG1/FANCI/CKS2/HMGB2/TYMS/CENPE/HMGB3/STMN1/CDCA8/TUBA1B/ECT2/CDC25B/SMC4/UBE2S/VRK1/MCM3/MIS18A/JPT1/NUDT1/DTYMK/CDKN3/SNRPD1/CKAP2/LRR1/H2AFZ/GMNN/ARL6IP1/CCT6A/CSE1L/HNRNPA2B1/TPI1/PSMA7/CENPM/SNRPF/TUBG1/CKAP5/KPNA2/ALYREF/XPO1/COX5A/PCNA/CENPX/LAPTM4B/H2AFV/MCM4/FAM136A/CKS1B/DNMT1</td><td>103</td></tr>\n",
       "\t<tr><th scope=row>Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954</th><td>Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954  </td><td>Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954  </td><td>60/410 </td><td>121/19993</td><td>3.984606e-69</td><td>7.112521e-67</td><td>4.802499e-67</td><td>TOP2A/CDK1/MKI67/UBE2C/TPX2/PCLAF/CENPF/NEK2/SPC25/PRC1/MYBL2/ZWINT/PBK/SHCBP1/TROAP/KIF4A/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/RAD51AP1/ORC6/RACGAP1/CCNB1/CHEK1/AURKA/GTSE1/PTTG1/CKS2/TYMS/CENPE/STMN1/CDCA8/TUBA1B/ECT2/SMC4/UBE2S/MCM3/MIS18A/TMPO/CDKN3/H2AFZ/PSMA7/CENPM/CKAP5/PCNA/PDCD5                                                                                                                                                                                                                                                                         </td><td> 60</td></tr>\n",
       "\t<tr><th scope=row>bMYB_Signature_Oncogene.2009_PMID.19043454</th><td>bMYB_Signature_Oncogene.2009_PMID.19043454                 </td><td>bMYB_Signature_Oncogene.2009_PMID.19043454                 </td><td>61/410 </td><td>151/19993</td><td>2.525756e-63</td><td>3.005650e-61</td><td>2.029467e-61</td><td>TOP2A/CDK1/UBE2C/TPX2/BIRC5/ANLN/CENPF/PRC1/MYBL2/ZWINT/PBK/PKMYT1/FAM83D/TROAP/UBE2T/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/RRM2/KIF23/NUSAP1/TK1/RAD51AP1/ORC6/RACGAP1/CCNB1/CENPU/PLK1/ATAD2/CKS2/KIF20B/HMGB2/CENPE/RFC3/HMGB3/STMN1/CDCA8/BRCA1/ECT2/CDC25B/SMC4/VRK1/MCM3/NUDT1/CDKN3/H2AFZ/ARL6IP1/NMB/RPL39L/KPNA2/TCOF1/TM4SF1/MCM4/CKS1B                                                                                                                                                                                                                                                                </td><td> 61</td></tr>\n",
       "\t<tr><th scope=row>MProliferation_BMC.Med.Genomics.2011_PMID.21214954</th><td>MProliferation_BMC.Med.Genomics.2011_PMID.21214954         </td><td>MProliferation_BMC.Med.Genomics.2011_PMID.21214954         </td><td>59/410 </td><td>145/19993</td><td>1.820109e-61</td><td>1.624447e-59</td><td>1.096855e-59</td><td>TOP2A/CDK1/UBE2C/TPX2/BIRC5/CENPF/NEK2/SGO1/SPC25/PRC1/PBK/SHCBP1/PKMYT1/FAM83D/KIF4A/UBE2T/ASPM/KIF11/CEP55/CCNB2/CDC20/KNL1/NUF2/MAD2L1/CCNA2/RRM2/NUSAP1/TK1/CENPA/HELLS/RAD51AP1/RACGAP1/CCNB1/CHEK1/PLK1/AURKA/GTSE1/CENPH/FANCI/CKS2/KIF20B/HMGB2/TYMS/CENPE/RFC3/STMN1/CDCA8/BRCA1/ECT2/DUT/SGO2/SMC4/SMC2/MCM3/RRM1/CKAP2/PCNA/MCM4/DNMT1                                                                                                                                                                                                                                                                                     </td><td> 59</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954           </td><td>UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954           </td><td>57/410 </td><td>132/19993</td><td>3.256321e-61</td><td>2.325013e-59</td><td>1.569889e-59</td><td>TOP2A/CDK1/MKI67/UBE2C/TPX2/PCLAF/CENPF/NEK2/SPC25/PRC1/ZWINT/PBK/TROAP/KIF4A/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/HELLS/RAD51AP1/RACGAP1/CCNB1/AURKA/ATAD2/PTTG1/CKS2/TYMS/BARD1/CENPE/CDCA8/ECT2/SMC4/UBE2S/SMC2/JPT1/NUDT1/CDKN3/CKAP2/H2AFZ/CENPM/TUBG1/CKAP5/PCNA/DNMT1                                                                                                                                                                                                                                                                                             </td><td> 57</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954         </td><td>UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954         </td><td>65/410 </td><td>267/19993</td><td>3.865961e-51</td><td>2.300247e-49</td><td>1.553167e-49</td><td>TOP2A/CDK1/MKI67/UBE2C/TPX2/PCLAF/CENPF/NEK2/SPC25/PRC1/MYBL2/ZWINT/PBK/SHCBP1/TROAP/KIF4A/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/HELLS/RAD51AP1/ORC6/RACGAP1/CCNB1/CHEK1/AURKA/GTSE1/S100A9/PTTG1/CKS2/TYMS/CENPE/HMGB3/CDCA8/BTG3/ECT2/CDC25B/UBE2S/JPT1/NUDT1/LY6E/CDKN3/CKAP2/GMNN/CENPM/TUBB4B/SNRPB/PCNA/LAPTM4B/NASP/RSRC1                                                                                                                                                                                                                                          </td><td> 65</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tWirapati\\_Proliferation\\_Breast.Cancer.Res.2008\\_PMID.18662380 & Wirapati\\_Proliferation\\_Breast.Cancer.Res.2008\\_PMID.18662380 & Wirapati\\_Proliferation\\_Breast.Cancer.Res.2008\\_PMID.18662380 & 103/410 & 354/19993 & 6.765447e-91 & 2.415265e-88 & 1.630829e-88 & TOP2A/CDK1/MKI67/UBE2C/TPX2/BIRC5/ANLN/PCLAF/CENPF/IQGAP3/NEK2/SPC25/PRC1/MYBL2/ZWINT/PBK/SHCBP1/PKMYT1/FAM83D/TROAP/KIF4A/UBE2T/ASPM/KIF11/DIAPH3/CENPK/CEP55/CCNB2/CDC20/KNL1/NCAPH/NUF2/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/HELLS/RAD51AP1/CENPW/ORC6/RACGAP1/CCNB1/CENPU/CHEK1/PLK1/AURKA/ATAD2/GTSE1/PTTG1/FANCI/CKS2/HMGB2/TYMS/CENPE/HMGB3/STMN1/CDCA8/TUBA1B/ECT2/CDC25B/SMC4/UBE2S/VRK1/MCM3/MIS18A/JPT1/NUDT1/DTYMK/CDKN3/SNRPD1/CKAP2/LRR1/H2AFZ/GMNN/ARL6IP1/CCT6A/CSE1L/HNRNPA2B1/TPI1/PSMA7/CENPM/SNRPF/TUBG1/CKAP5/KPNA2/ALYREF/XPO1/COX5A/PCNA/CENPX/LAPTM4B/H2AFV/MCM4/FAM136A/CKS1B/DNMT1 & 103\\\\\n",
       "\tProliferation\\_Cluster\\_BMC.Med.Genomics.2011\\_PMID.21214954 & Proliferation\\_Cluster\\_BMC.Med.Genomics.2011\\_PMID.21214954   & Proliferation\\_Cluster\\_BMC.Med.Genomics.2011\\_PMID.21214954   & 60/410  & 121/19993 & 3.984606e-69 & 7.112521e-67 & 4.802499e-67 & TOP2A/CDK1/MKI67/UBE2C/TPX2/PCLAF/CENPF/NEK2/SPC25/PRC1/MYBL2/ZWINT/PBK/SHCBP1/TROAP/KIF4A/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/RAD51AP1/ORC6/RACGAP1/CCNB1/CHEK1/AURKA/GTSE1/PTTG1/CKS2/TYMS/CENPE/STMN1/CDCA8/TUBA1B/ECT2/SMC4/UBE2S/MCM3/MIS18A/TMPO/CDKN3/H2AFZ/PSMA7/CENPM/CKAP5/PCNA/PDCD5                                                                                                                                                                                                                                                                          &  60\\\\\n",
       "\tbMYB\\_Signature\\_Oncogene.2009\\_PMID.19043454 & bMYB\\_Signature\\_Oncogene.2009\\_PMID.19043454                  & bMYB\\_Signature\\_Oncogene.2009\\_PMID.19043454                  & 61/410  & 151/19993 & 2.525756e-63 & 3.005650e-61 & 2.029467e-61 & TOP2A/CDK1/UBE2C/TPX2/BIRC5/ANLN/CENPF/PRC1/MYBL2/ZWINT/PBK/PKMYT1/FAM83D/TROAP/UBE2T/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/RRM2/KIF23/NUSAP1/TK1/RAD51AP1/ORC6/RACGAP1/CCNB1/CENPU/PLK1/ATAD2/CKS2/KIF20B/HMGB2/CENPE/RFC3/HMGB3/STMN1/CDCA8/BRCA1/ECT2/CDC25B/SMC4/VRK1/MCM3/NUDT1/CDKN3/H2AFZ/ARL6IP1/NMB/RPL39L/KPNA2/TCOF1/TM4SF1/MCM4/CKS1B                                                                                                                                                                                                                                                                 &  61\\\\\n",
       "\tMProliferation\\_BMC.Med.Genomics.2011\\_PMID.21214954 & MProliferation\\_BMC.Med.Genomics.2011\\_PMID.21214954          & MProliferation\\_BMC.Med.Genomics.2011\\_PMID.21214954          & 59/410  & 145/19993 & 1.820109e-61 & 1.624447e-59 & 1.096855e-59 & TOP2A/CDK1/UBE2C/TPX2/BIRC5/CENPF/NEK2/SGO1/SPC25/PRC1/PBK/SHCBP1/PKMYT1/FAM83D/KIF4A/UBE2T/ASPM/KIF11/CEP55/CCNB2/CDC20/KNL1/NUF2/MAD2L1/CCNA2/RRM2/NUSAP1/TK1/CENPA/HELLS/RAD51AP1/RACGAP1/CCNB1/CHEK1/PLK1/AURKA/GTSE1/CENPH/FANCI/CKS2/KIF20B/HMGB2/TYMS/CENPE/RFC3/STMN1/CDCA8/BRCA1/ECT2/DUT/SGO2/SMC4/SMC2/MCM3/RRM1/CKAP2/PCNA/MCM4/DNMT1                                                                                                                                                                                                                                                                                      &  59\\\\\n",
       "\tUNC\\_HS\\_Red23\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Red23\\_BMC.Med.Genomics.2011\\_PMID.21214954            & UNC\\_HS\\_Red23\\_BMC.Med.Genomics.2011\\_PMID.21214954            & 57/410  & 132/19993 & 3.256321e-61 & 2.325013e-59 & 1.569889e-59 & TOP2A/CDK1/MKI67/UBE2C/TPX2/PCLAF/CENPF/NEK2/SPC25/PRC1/ZWINT/PBK/TROAP/KIF4A/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/HELLS/RAD51AP1/RACGAP1/CCNB1/AURKA/ATAD2/PTTG1/CKS2/TYMS/BARD1/CENPE/CDCA8/ECT2/SMC4/UBE2S/SMC2/JPT1/NUDT1/CDKN3/CKAP2/H2AFZ/CENPM/TUBG1/CKAP5/PCNA/DNMT1                                                                                                                                                                                                                                                                                              &  57\\\\\n",
       "\tUNC\\_HS\\_Green10\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Green10\\_BMC.Med.Genomics.2011\\_PMID.21214954          & UNC\\_HS\\_Green10\\_BMC.Med.Genomics.2011\\_PMID.21214954          & 65/410  & 267/19993 & 3.865961e-51 & 2.300247e-49 & 1.553167e-49 & TOP2A/CDK1/MKI67/UBE2C/TPX2/PCLAF/CENPF/NEK2/SPC25/PRC1/MYBL2/ZWINT/PBK/SHCBP1/TROAP/KIF4A/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/HELLS/RAD51AP1/ORC6/RACGAP1/CCNB1/CHEK1/AURKA/GTSE1/S100A9/PTTG1/CKS2/TYMS/CENPE/HMGB3/CDCA8/BTG3/ECT2/CDC25B/UBE2S/JPT1/NUDT1/LY6E/CDKN3/CKAP2/GMNN/CENPM/TUBB4B/SNRPB/PCNA/LAPTM4B/NASP/RSRC1                                                                                                                                                                                                                                           &  65\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380 | Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380 | Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380 | 103/410 | 354/19993 | 6.765447e-91 | 2.415265e-88 | 1.630829e-88 | TOP2A/CDK1/MKI67/UBE2C/TPX2/BIRC5/ANLN/PCLAF/CENPF/IQGAP3/NEK2/SPC25/PRC1/MYBL2/ZWINT/PBK/SHCBP1/PKMYT1/FAM83D/TROAP/KIF4A/UBE2T/ASPM/KIF11/DIAPH3/CENPK/CEP55/CCNB2/CDC20/KNL1/NCAPH/NUF2/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/HELLS/RAD51AP1/CENPW/ORC6/RACGAP1/CCNB1/CENPU/CHEK1/PLK1/AURKA/ATAD2/GTSE1/PTTG1/FANCI/CKS2/HMGB2/TYMS/CENPE/HMGB3/STMN1/CDCA8/TUBA1B/ECT2/CDC25B/SMC4/UBE2S/VRK1/MCM3/MIS18A/JPT1/NUDT1/DTYMK/CDKN3/SNRPD1/CKAP2/LRR1/H2AFZ/GMNN/ARL6IP1/CCT6A/CSE1L/HNRNPA2B1/TPI1/PSMA7/CENPM/SNRPF/TUBG1/CKAP5/KPNA2/ALYREF/XPO1/COX5A/PCNA/CENPX/LAPTM4B/H2AFV/MCM4/FAM136A/CKS1B/DNMT1 | 103 |\n",
       "| Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954 | Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954   | Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954   | 60/410  | 121/19993 | 3.984606e-69 | 7.112521e-67 | 4.802499e-67 | TOP2A/CDK1/MKI67/UBE2C/TPX2/PCLAF/CENPF/NEK2/SPC25/PRC1/MYBL2/ZWINT/PBK/SHCBP1/TROAP/KIF4A/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/RAD51AP1/ORC6/RACGAP1/CCNB1/CHEK1/AURKA/GTSE1/PTTG1/CKS2/TYMS/CENPE/STMN1/CDCA8/TUBA1B/ECT2/SMC4/UBE2S/MCM3/MIS18A/TMPO/CDKN3/H2AFZ/PSMA7/CENPM/CKAP5/PCNA/PDCD5                                                                                                                                                                                                                                                                          |  60 |\n",
       "| bMYB_Signature_Oncogene.2009_PMID.19043454 | bMYB_Signature_Oncogene.2009_PMID.19043454                  | bMYB_Signature_Oncogene.2009_PMID.19043454                  | 61/410  | 151/19993 | 2.525756e-63 | 3.005650e-61 | 2.029467e-61 | TOP2A/CDK1/UBE2C/TPX2/BIRC5/ANLN/CENPF/PRC1/MYBL2/ZWINT/PBK/PKMYT1/FAM83D/TROAP/UBE2T/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/RRM2/KIF23/NUSAP1/TK1/RAD51AP1/ORC6/RACGAP1/CCNB1/CENPU/PLK1/ATAD2/CKS2/KIF20B/HMGB2/CENPE/RFC3/HMGB3/STMN1/CDCA8/BRCA1/ECT2/CDC25B/SMC4/VRK1/MCM3/NUDT1/CDKN3/H2AFZ/ARL6IP1/NMB/RPL39L/KPNA2/TCOF1/TM4SF1/MCM4/CKS1B                                                                                                                                                                                                                                                                 |  61 |\n",
       "| MProliferation_BMC.Med.Genomics.2011_PMID.21214954 | MProliferation_BMC.Med.Genomics.2011_PMID.21214954          | MProliferation_BMC.Med.Genomics.2011_PMID.21214954          | 59/410  | 145/19993 | 1.820109e-61 | 1.624447e-59 | 1.096855e-59 | TOP2A/CDK1/UBE2C/TPX2/BIRC5/CENPF/NEK2/SGO1/SPC25/PRC1/PBK/SHCBP1/PKMYT1/FAM83D/KIF4A/UBE2T/ASPM/KIF11/CEP55/CCNB2/CDC20/KNL1/NUF2/MAD2L1/CCNA2/RRM2/NUSAP1/TK1/CENPA/HELLS/RAD51AP1/RACGAP1/CCNB1/CHEK1/PLK1/AURKA/GTSE1/CENPH/FANCI/CKS2/KIF20B/HMGB2/TYMS/CENPE/RFC3/STMN1/CDCA8/BRCA1/ECT2/DUT/SGO2/SMC4/SMC2/MCM3/RRM1/CKAP2/PCNA/MCM4/DNMT1                                                                                                                                                                                                                                                                                      |  59 |\n",
       "| UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954            | UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954            | 57/410  | 132/19993 | 3.256321e-61 | 2.325013e-59 | 1.569889e-59 | TOP2A/CDK1/MKI67/UBE2C/TPX2/PCLAF/CENPF/NEK2/SPC25/PRC1/ZWINT/PBK/TROAP/KIF4A/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/HELLS/RAD51AP1/RACGAP1/CCNB1/AURKA/ATAD2/PTTG1/CKS2/TYMS/BARD1/CENPE/CDCA8/ECT2/SMC4/UBE2S/SMC2/JPT1/NUDT1/CDKN3/CKAP2/H2AFZ/CENPM/TUBG1/CKAP5/PCNA/DNMT1                                                                                                                                                                                                                                                                                              |  57 |\n",
       "| UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954          | UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954          | 65/410  | 267/19993 | 3.865961e-51 | 2.300247e-49 | 1.553167e-49 | TOP2A/CDK1/MKI67/UBE2C/TPX2/PCLAF/CENPF/NEK2/SPC25/PRC1/MYBL2/ZWINT/PBK/SHCBP1/TROAP/KIF4A/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/HELLS/RAD51AP1/ORC6/RACGAP1/CCNB1/CHEK1/AURKA/GTSE1/S100A9/PTTG1/CKS2/TYMS/CENPE/HMGB3/CDCA8/BTG3/ECT2/CDC25B/UBE2S/JPT1/NUDT1/LY6E/CDKN3/CKAP2/GMNN/CENPM/TUBB4B/SNRPB/PCNA/LAPTM4B/NASP/RSRC1                                                                                                                                                                                                                                           |  65 |\n",
       "\n"
      ],
      "text/plain": [
       "                                                            ID                                                         \n",
       "Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380 Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380\n",
       "Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954   Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "bMYB_Signature_Oncogene.2009_PMID.19043454                  bMYB_Signature_Oncogene.2009_PMID.19043454                 \n",
       "MProliferation_BMC.Med.Genomics.2011_PMID.21214954          MProliferation_BMC.Med.Genomics.2011_PMID.21214954         \n",
       "UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954            UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954           \n",
       "UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954          UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954         \n",
       "                                                            Description                                                \n",
       "Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380 Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380\n",
       "Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954   Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "bMYB_Signature_Oncogene.2009_PMID.19043454                  bMYB_Signature_Oncogene.2009_PMID.19043454                 \n",
       "MProliferation_BMC.Med.Genomics.2011_PMID.21214954          MProliferation_BMC.Med.Genomics.2011_PMID.21214954         \n",
       "UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954            UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954           \n",
       "UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954          UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954         \n",
       "                                                            GeneRatio BgRatio  \n",
       "Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380 103/410   354/19993\n",
       "Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954   60/410    121/19993\n",
       "bMYB_Signature_Oncogene.2009_PMID.19043454                  61/410    151/19993\n",
       "MProliferation_BMC.Med.Genomics.2011_PMID.21214954          59/410    145/19993\n",
       "UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954            57/410    132/19993\n",
       "UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954          65/410    267/19993\n",
       "                                                            pvalue      \n",
       "Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380 6.765447e-91\n",
       "Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954   3.984606e-69\n",
       "bMYB_Signature_Oncogene.2009_PMID.19043454                  2.525756e-63\n",
       "MProliferation_BMC.Med.Genomics.2011_PMID.21214954          1.820109e-61\n",
       "UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954            3.256321e-61\n",
       "UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954          3.865961e-51\n",
       "                                                            p.adjust    \n",
       "Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380 2.415265e-88\n",
       "Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954   7.112521e-67\n",
       "bMYB_Signature_Oncogene.2009_PMID.19043454                  3.005650e-61\n",
       "MProliferation_BMC.Med.Genomics.2011_PMID.21214954          1.624447e-59\n",
       "UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954            2.325013e-59\n",
       "UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954          2.300247e-49\n",
       "                                                            qvalue      \n",
       "Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380 1.630829e-88\n",
       "Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954   4.802499e-67\n",
       "bMYB_Signature_Oncogene.2009_PMID.19043454                  2.029467e-61\n",
       "MProliferation_BMC.Med.Genomics.2011_PMID.21214954          1.096855e-59\n",
       "UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954            1.569889e-59\n",
       "UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954          1.553167e-49\n",
       "                                                            geneID                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                \n",
       "Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380 TOP2A/CDK1/MKI67/UBE2C/TPX2/BIRC5/ANLN/PCLAF/CENPF/IQGAP3/NEK2/SPC25/PRC1/MYBL2/ZWINT/PBK/SHCBP1/PKMYT1/FAM83D/TROAP/KIF4A/UBE2T/ASPM/KIF11/DIAPH3/CENPK/CEP55/CCNB2/CDC20/KNL1/NCAPH/NUF2/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/HELLS/RAD51AP1/CENPW/ORC6/RACGAP1/CCNB1/CENPU/CHEK1/PLK1/AURKA/ATAD2/GTSE1/PTTG1/FANCI/CKS2/HMGB2/TYMS/CENPE/HMGB3/STMN1/CDCA8/TUBA1B/ECT2/CDC25B/SMC4/UBE2S/VRK1/MCM3/MIS18A/JPT1/NUDT1/DTYMK/CDKN3/SNRPD1/CKAP2/LRR1/H2AFZ/GMNN/ARL6IP1/CCT6A/CSE1L/HNRNPA2B1/TPI1/PSMA7/CENPM/SNRPF/TUBG1/CKAP5/KPNA2/ALYREF/XPO1/COX5A/PCNA/CENPX/LAPTM4B/H2AFV/MCM4/FAM136A/CKS1B/DNMT1\n",
       "Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954   TOP2A/CDK1/MKI67/UBE2C/TPX2/PCLAF/CENPF/NEK2/SPC25/PRC1/MYBL2/ZWINT/PBK/SHCBP1/TROAP/KIF4A/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/RAD51AP1/ORC6/RACGAP1/CCNB1/CHEK1/AURKA/GTSE1/PTTG1/CKS2/TYMS/CENPE/STMN1/CDCA8/TUBA1B/ECT2/SMC4/UBE2S/MCM3/MIS18A/TMPO/CDKN3/H2AFZ/PSMA7/CENPM/CKAP5/PCNA/PDCD5                                                                                                                                                                                                                                                                         \n",
       "bMYB_Signature_Oncogene.2009_PMID.19043454                  TOP2A/CDK1/UBE2C/TPX2/BIRC5/ANLN/CENPF/PRC1/MYBL2/ZWINT/PBK/PKMYT1/FAM83D/TROAP/UBE2T/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/RRM2/KIF23/NUSAP1/TK1/RAD51AP1/ORC6/RACGAP1/CCNB1/CENPU/PLK1/ATAD2/CKS2/KIF20B/HMGB2/CENPE/RFC3/HMGB3/STMN1/CDCA8/BRCA1/ECT2/CDC25B/SMC4/VRK1/MCM3/NUDT1/CDKN3/H2AFZ/ARL6IP1/NMB/RPL39L/KPNA2/TCOF1/TM4SF1/MCM4/CKS1B                                                                                                                                                                                                                                                                \n",
       "MProliferation_BMC.Med.Genomics.2011_PMID.21214954          TOP2A/CDK1/UBE2C/TPX2/BIRC5/CENPF/NEK2/SGO1/SPC25/PRC1/PBK/SHCBP1/PKMYT1/FAM83D/KIF4A/UBE2T/ASPM/KIF11/CEP55/CCNB2/CDC20/KNL1/NUF2/MAD2L1/CCNA2/RRM2/NUSAP1/TK1/CENPA/HELLS/RAD51AP1/RACGAP1/CCNB1/CHEK1/PLK1/AURKA/GTSE1/CENPH/FANCI/CKS2/KIF20B/HMGB2/TYMS/CENPE/RFC3/STMN1/CDCA8/BRCA1/ECT2/DUT/SGO2/SMC4/SMC2/MCM3/RRM1/CKAP2/PCNA/MCM4/DNMT1                                                                                                                                                                                                                                                                                     \n",
       "UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954            TOP2A/CDK1/MKI67/UBE2C/TPX2/PCLAF/CENPF/NEK2/SPC25/PRC1/ZWINT/PBK/TROAP/KIF4A/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/HELLS/RAD51AP1/RACGAP1/CCNB1/AURKA/ATAD2/PTTG1/CKS2/TYMS/BARD1/CENPE/CDCA8/ECT2/SMC4/UBE2S/SMC2/JPT1/NUDT1/CDKN3/CKAP2/H2AFZ/CENPM/TUBG1/CKAP5/PCNA/DNMT1                                                                                                                                                                                                                                                                                             \n",
       "UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954          TOP2A/CDK1/MKI67/UBE2C/TPX2/PCLAF/CENPF/NEK2/SPC25/PRC1/MYBL2/ZWINT/PBK/SHCBP1/TROAP/KIF4A/ASPM/KIF11/CEP55/CCNB2/CDC20/NCAPH/MAD2L1/KIF2C/HMMR/CCNA2/E2F1/RRM2/KIF23/NUSAP1/KIFC1/TK1/CENPA/HELLS/RAD51AP1/ORC6/RACGAP1/CCNB1/CHEK1/AURKA/GTSE1/S100A9/PTTG1/CKS2/TYMS/CENPE/HMGB3/CDCA8/BTG3/ECT2/CDC25B/UBE2S/JPT1/NUDT1/LY6E/CDKN3/CKAP2/GMNN/CENPM/TUBB4B/SNRPB/PCNA/LAPTM4B/NASP/RSRC1                                                                                                                                                                                                                                          \n",
       "                                                            Count\n",
       "Wirapati_Proliferation_Breast.Cancer.Res.2008_PMID.18662380 103  \n",
       "Proliferation_Cluster_BMC.Med.Genomics.2011_PMID.21214954    60  \n",
       "bMYB_Signature_Oncogene.2009_PMID.19043454                   61  \n",
       "MProliferation_BMC.Med.Genomics.2011_PMID.21214954           59  \n",
       "UNC_HS_Red23_BMC.Med.Genomics.2011_PMID.21214954             57  \n",
       "UNC_HS_Green10_BMC.Med.Genomics.2011_PMID.21214954           65  "
      ]
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       "<ol class=list-inline><li>96</li><li>9</li></ol>\n"
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       "\\begin{enumerate*}\n",
       "\\item 96\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
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       "1. 96\n",
       "2. 9\n",
       "\n",
       "\n"
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       "[1] 96  9"
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       "down h"
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       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>HALLMARK_UNFOLDED_PROTEIN_RESPONSE</th><td>HALLMARK_UNFOLDED_PROTEIN_RESPONSE</td><td>HALLMARK_UNFOLDED_PROTEIN_RESPONSE</td><td>21/85</td><td>113/4386</td><td>7.263414e-16</td><td>2.832732e-14</td><td>2.064339e-14</td><td>SERP1/HSPA5/DDX10/HERPUD1/ATF4/ASNS/CEBPG/DNAJC3/MTHFD2/DNAJB9/DDIT4/IARS/ATF3/SEC31A/PDIA6/CALR/VEGFA/HSP90B1/SSR1/FKBP14/PDIA5                          </td><td>21</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MTORC1_SIGNALING</th><td>HALLMARK_MTORC1_SIGNALING         </td><td>HALLMARK_MTORC1_SIGNALING         </td><td>25/85</td><td>200/4386</td><td>1.357551e-14</td><td>2.647225e-13</td><td>1.929152e-13</td><td>NUPR1/SERP1/HSPA5/SQSTM1/SDF2L1/TRIB3/DDIT3/ASNS/TCEA1/MTHFD2/TUBA4A/SQLE/HMGCR/PHGDH/HMGCS1/FAM129A/IDI1/DDIT4/SLC7A11/CALR/EPRS/HSP90B1/GOT1/TXNRD1/SSR1</td><td>25</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_CHOLESTEROL_HOMEOSTASIS</th><td>HALLMARK_CHOLESTEROL_HOMEOSTASIS  </td><td>HALLMARK_CHOLESTEROL_HOMEOSTASIS  </td><td>9/85 </td><td>74/4386 </td><td>9.945769e-06</td><td>1.292950e-04</td><td>9.422308e-05</td><td>TRIB3/STX5/SQLE/HMGCR/HMGCS1/FAM129A/IDI1/ATF3/PNRC1                                                                                                      </td><td> 9</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_ANDROGEN_RESPONSE</th><td>HALLMARK_ANDROGEN_RESPONSE        </td><td>HALLMARK_ANDROGEN_RESPONSE        </td><td>8/85 </td><td>101/4386</td><td>6.663101e-04</td><td>6.496524e-03</td><td>4.734309e-03</td><td>HOMER2/PGM3/LMAN1/DNAJB9/HMGCR/HMGCS1/IDI1/SLC38A2                                                                                                        </td><td> 8</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_PROTEIN_SECRETION</th><td>HALLMARK_PROTEIN_SECRETION        </td><td>HALLMARK_PROTEIN_SECRETION        </td><td>7/85 </td><td>96/4386 </td><td>2.368809e-03</td><td>1.847671e-02</td><td>1.346481e-02</td><td>ARFGAP3/LMAN1/COPE/SEC31A/RAB9A/ARF1/DST                                                                                                                  </td><td> 7</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_UV_RESPONSE_UP</th><td>HALLMARK_UV_RESPONSE_UP           </td><td>HALLMARK_UV_RESPONSE_UP           </td><td>9/85 </td><td>158/4386</td><td>3.206121e-03</td><td>2.083978e-02</td><td>1.518689e-02</td><td>SQSTM1/ASNS/CEBPG/TUBA4A/HMOX1/BTG1/ATF3/DDX21/HSPA13                                                                                                     </td><td> 9</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tHALLMARK\\_UNFOLDED\\_PROTEIN\\_RESPONSE & HALLMARK\\_UNFOLDED\\_PROTEIN\\_RESPONSE & HALLMARK\\_UNFOLDED\\_PROTEIN\\_RESPONSE & 21/85 & 113/4386 & 7.263414e-16 & 2.832732e-14 & 2.064339e-14 & SERP1/HSPA5/DDX10/HERPUD1/ATF4/ASNS/CEBPG/DNAJC3/MTHFD2/DNAJB9/DDIT4/IARS/ATF3/SEC31A/PDIA6/CALR/VEGFA/HSP90B1/SSR1/FKBP14/PDIA5                           & 21\\\\\n",
       "\tHALLMARK\\_MTORC1\\_SIGNALING & HALLMARK\\_MTORC1\\_SIGNALING          & HALLMARK\\_MTORC1\\_SIGNALING          & 25/85 & 200/4386 & 1.357551e-14 & 2.647225e-13 & 1.929152e-13 & NUPR1/SERP1/HSPA5/SQSTM1/SDF2L1/TRIB3/DDIT3/ASNS/TCEA1/MTHFD2/TUBA4A/SQLE/HMGCR/PHGDH/HMGCS1/FAM129A/IDI1/DDIT4/SLC7A11/CALR/EPRS/HSP90B1/GOT1/TXNRD1/SSR1 & 25\\\\\n",
       "\tHALLMARK\\_CHOLESTEROL\\_HOMEOSTASIS & HALLMARK\\_CHOLESTEROL\\_HOMEOSTASIS   & HALLMARK\\_CHOLESTEROL\\_HOMEOSTASIS   & 9/85  & 74/4386  & 9.945769e-06 & 1.292950e-04 & 9.422308e-05 & TRIB3/STX5/SQLE/HMGCR/HMGCS1/FAM129A/IDI1/ATF3/PNRC1                                                                                                       &  9\\\\\n",
       "\tHALLMARK\\_ANDROGEN\\_RESPONSE & HALLMARK\\_ANDROGEN\\_RESPONSE         & HALLMARK\\_ANDROGEN\\_RESPONSE         & 8/85  & 101/4386 & 6.663101e-04 & 6.496524e-03 & 4.734309e-03 & HOMER2/PGM3/LMAN1/DNAJB9/HMGCR/HMGCS1/IDI1/SLC38A2                                                                                                         &  8\\\\\n",
       "\tHALLMARK\\_PROTEIN\\_SECRETION & HALLMARK\\_PROTEIN\\_SECRETION         & HALLMARK\\_PROTEIN\\_SECRETION         & 7/85  & 96/4386  & 2.368809e-03 & 1.847671e-02 & 1.346481e-02 & ARFGAP3/LMAN1/COPE/SEC31A/RAB9A/ARF1/DST                                                                                                                   &  7\\\\\n",
       "\tHALLMARK\\_UV\\_RESPONSE\\_UP & HALLMARK\\_UV\\_RESPONSE\\_UP            & HALLMARK\\_UV\\_RESPONSE\\_UP            & 9/85  & 158/4386 & 3.206121e-03 & 2.083978e-02 & 1.518689e-02 & SQSTM1/ASNS/CEBPG/TUBA4A/HMOX1/BTG1/ATF3/DDX21/HSPA13                                                                                                      &  9\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| HALLMARK_UNFOLDED_PROTEIN_RESPONSE | HALLMARK_UNFOLDED_PROTEIN_RESPONSE | HALLMARK_UNFOLDED_PROTEIN_RESPONSE | 21/85 | 113/4386 | 7.263414e-16 | 2.832732e-14 | 2.064339e-14 | SERP1/HSPA5/DDX10/HERPUD1/ATF4/ASNS/CEBPG/DNAJC3/MTHFD2/DNAJB9/DDIT4/IARS/ATF3/SEC31A/PDIA6/CALR/VEGFA/HSP90B1/SSR1/FKBP14/PDIA5                           | 21 |\n",
       "| HALLMARK_MTORC1_SIGNALING | HALLMARK_MTORC1_SIGNALING          | HALLMARK_MTORC1_SIGNALING          | 25/85 | 200/4386 | 1.357551e-14 | 2.647225e-13 | 1.929152e-13 | NUPR1/SERP1/HSPA5/SQSTM1/SDF2L1/TRIB3/DDIT3/ASNS/TCEA1/MTHFD2/TUBA4A/SQLE/HMGCR/PHGDH/HMGCS1/FAM129A/IDI1/DDIT4/SLC7A11/CALR/EPRS/HSP90B1/GOT1/TXNRD1/SSR1 | 25 |\n",
       "| HALLMARK_CHOLESTEROL_HOMEOSTASIS | HALLMARK_CHOLESTEROL_HOMEOSTASIS   | HALLMARK_CHOLESTEROL_HOMEOSTASIS   | 9/85  | 74/4386  | 9.945769e-06 | 1.292950e-04 | 9.422308e-05 | TRIB3/STX5/SQLE/HMGCR/HMGCS1/FAM129A/IDI1/ATF3/PNRC1                                                                                                       |  9 |\n",
       "| HALLMARK_ANDROGEN_RESPONSE | HALLMARK_ANDROGEN_RESPONSE         | HALLMARK_ANDROGEN_RESPONSE         | 8/85  | 101/4386 | 6.663101e-04 | 6.496524e-03 | 4.734309e-03 | HOMER2/PGM3/LMAN1/DNAJB9/HMGCR/HMGCS1/IDI1/SLC38A2                                                                                                         |  8 |\n",
       "| HALLMARK_PROTEIN_SECRETION | HALLMARK_PROTEIN_SECRETION         | HALLMARK_PROTEIN_SECRETION         | 7/85  | 96/4386  | 2.368809e-03 | 1.847671e-02 | 1.346481e-02 | ARFGAP3/LMAN1/COPE/SEC31A/RAB9A/ARF1/DST                                                                                                                   |  7 |\n",
       "| HALLMARK_UV_RESPONSE_UP | HALLMARK_UV_RESPONSE_UP            | HALLMARK_UV_RESPONSE_UP            | 9/85  | 158/4386 | 3.206121e-03 | 2.083978e-02 | 1.518689e-02 | SQSTM1/ASNS/CEBPG/TUBA4A/HMOX1/BTG1/ATF3/DDX21/HSPA13                                                                                                      |  9 |\n",
       "\n"
      ],
      "text/plain": [
       "                                   ID                                \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE HALLMARK_UNFOLDED_PROTEIN_RESPONSE\n",
       "HALLMARK_MTORC1_SIGNALING          HALLMARK_MTORC1_SIGNALING         \n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   HALLMARK_CHOLESTEROL_HOMEOSTASIS  \n",
       "HALLMARK_ANDROGEN_RESPONSE         HALLMARK_ANDROGEN_RESPONSE        \n",
       "HALLMARK_PROTEIN_SECRETION         HALLMARK_PROTEIN_SECRETION        \n",
       "HALLMARK_UV_RESPONSE_UP            HALLMARK_UV_RESPONSE_UP           \n",
       "                                   Description                        GeneRatio\n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE HALLMARK_UNFOLDED_PROTEIN_RESPONSE 21/85    \n",
       "HALLMARK_MTORC1_SIGNALING          HALLMARK_MTORC1_SIGNALING          25/85    \n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   HALLMARK_CHOLESTEROL_HOMEOSTASIS   9/85     \n",
       "HALLMARK_ANDROGEN_RESPONSE         HALLMARK_ANDROGEN_RESPONSE         8/85     \n",
       "HALLMARK_PROTEIN_SECRETION         HALLMARK_PROTEIN_SECRETION         7/85     \n",
       "HALLMARK_UV_RESPONSE_UP            HALLMARK_UV_RESPONSE_UP            9/85     \n",
       "                                   BgRatio  pvalue       p.adjust    \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE 113/4386 7.263414e-16 2.832732e-14\n",
       "HALLMARK_MTORC1_SIGNALING          200/4386 1.357551e-14 2.647225e-13\n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   74/4386  9.945769e-06 1.292950e-04\n",
       "HALLMARK_ANDROGEN_RESPONSE         101/4386 6.663101e-04 6.496524e-03\n",
       "HALLMARK_PROTEIN_SECRETION         96/4386  2.368809e-03 1.847671e-02\n",
       "HALLMARK_UV_RESPONSE_UP            158/4386 3.206121e-03 2.083978e-02\n",
       "                                   qvalue      \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE 2.064339e-14\n",
       "HALLMARK_MTORC1_SIGNALING          1.929152e-13\n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   9.422308e-05\n",
       "HALLMARK_ANDROGEN_RESPONSE         4.734309e-03\n",
       "HALLMARK_PROTEIN_SECRETION         1.346481e-02\n",
       "HALLMARK_UV_RESPONSE_UP            1.518689e-02\n",
       "                                   geneID                                                                                                                                                    \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE SERP1/HSPA5/DDX10/HERPUD1/ATF4/ASNS/CEBPG/DNAJC3/MTHFD2/DNAJB9/DDIT4/IARS/ATF3/SEC31A/PDIA6/CALR/VEGFA/HSP90B1/SSR1/FKBP14/PDIA5                          \n",
       "HALLMARK_MTORC1_SIGNALING          NUPR1/SERP1/HSPA5/SQSTM1/SDF2L1/TRIB3/DDIT3/ASNS/TCEA1/MTHFD2/TUBA4A/SQLE/HMGCR/PHGDH/HMGCS1/FAM129A/IDI1/DDIT4/SLC7A11/CALR/EPRS/HSP90B1/GOT1/TXNRD1/SSR1\n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS   TRIB3/STX5/SQLE/HMGCR/HMGCS1/FAM129A/IDI1/ATF3/PNRC1                                                                                                      \n",
       "HALLMARK_ANDROGEN_RESPONSE         HOMER2/PGM3/LMAN1/DNAJB9/HMGCR/HMGCS1/IDI1/SLC38A2                                                                                                        \n",
       "HALLMARK_PROTEIN_SECRETION         ARFGAP3/LMAN1/COPE/SEC31A/RAB9A/ARF1/DST                                                                                                                  \n",
       "HALLMARK_UV_RESPONSE_UP            SQSTM1/ASNS/CEBPG/TUBA4A/HMOX1/BTG1/ATF3/DDX21/HSPA13                                                                                                     \n",
       "                                   Count\n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE 21   \n",
       "HALLMARK_MTORC1_SIGNALING          25   \n",
       "HALLMARK_CHOLESTEROL_HOMEOSTASIS    9   \n",
       "HALLMARK_ANDROGEN_RESPONSE          8   \n",
       "HALLMARK_PROTEIN_SECRETION          7   \n",
       "HALLMARK_UV_RESPONSE_UP             9   "
      ]
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       "<ol class=list-inline><li>9</li><li>9</li></ol>\n"
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      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 9\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 9\n",
       "2. 9\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 9 9"
      ]
     },
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    {
     "data": {
      "text/html": [
       "down unc_lccc"
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    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>Duke_Module07_glucosedepletion_Mike_PMID.20335537</th><td>Duke_Module07_glucosedepletion_Mike_PMID.20335537 </td><td>Duke_Module07_glucosedepletion_Mike_PMID.20335537 </td><td>9/179 </td><td>27/19993 </td><td>1.232005e-12</td><td>2.993772e-10</td><td>2.295420e-10</td><td>SLC3A2/HERPUD1/SDF2L1/DNAJB9/DDIT4/SLC38A2/MAP1LC3B/EPRS/CALU                                                                                               </td><td> 9</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954  </td><td>UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954  </td><td>23/179</td><td>430/19993</td><td>6.597554e-12</td><td>8.016028e-10</td><td>6.146142e-10</td><td>SERP1/ARFGAP3/RSL24D1/GFPT1/KDELR2/MTHFD2/DNAJB9/TMED5/CCPG1/SEC61G/ARL1/IDI1/CALCOCO2/TMEM258/JMJD1C/SCFD1/RAB9A/ARL8B/MAP1LC3B/NRBF2/HSP90B1/TXNRD1/HSPA13</td><td>23</td></tr>\n",
       "\t<tr><th scope=row>GSEA_HDAC_TARGETS_DN_HELLER</th><td>GSEA_HDAC_TARGETS_DN_HELLER                       </td><td>GSEA_HDAC_TARGETS_DN_HELLER                       </td><td>17/179</td><td>290/19993</td><td>1.080710e-09</td><td>8.350578e-08</td><td>6.402653e-08</td><td>PDIA3/SERP1/HSPA5/SLC3A2/HERPUD1/ATF4/TRIB3/DDIT3/CRELD2/CEBPG/DNAJB9/CCPG1/HMOX1/SLC7A11/ATF3/CALR/PMAIP1                                                  </td><td>17</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  </td><td>UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  </td><td>18/179</td><td>335/19993</td><td>1.374581e-09</td><td>8.350578e-08</td><td>6.402653e-08</td><td>PDIA3/JUND/PPIB/PGM3/ARF4/SRPRA/LMAN1/TRAM1/PSAP/GCLM/P4HB/RAB9A/MAP1LC3B/PJA2/ARF1/TMCO3/CALU/SSR1                                                         </td><td>18</td></tr>\n",
       "\t<tr><th scope=row>UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954</td><td>UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954</td><td>6/179 </td><td>29/19993 </td><td>1.895944e-07</td><td>9.214289e-06</td><td>7.064887e-06</td><td>PDIA3/PPIB/SLC39A7/KDELR2/TMED9/PDIA5                                                                                                                       </td><td> 6</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954  </td><td>UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954  </td><td>12/179</td><td>241/19993</td><td>1.881719e-06</td><td>7.620963e-05</td><td>5.843233e-05</td><td>NUPR1/SEPHS2/HOMER2/VAV3/DNAJC12/TCEA1/SQLE/TRAM1/OSER1/PGRMC2/SLC38A2/RB1CC1                                                                               </td><td>12</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tDuke\\_Module07\\_glucosedepletion\\_Mike\\_PMID.20335537 & Duke\\_Module07\\_glucosedepletion\\_Mike\\_PMID.20335537  & Duke\\_Module07\\_glucosedepletion\\_Mike\\_PMID.20335537  & 9/179  & 27/19993  & 1.232005e-12 & 2.993772e-10 & 2.295420e-10 & SLC3A2/HERPUD1/SDF2L1/DNAJB9/DDIT4/SLC38A2/MAP1LC3B/EPRS/CALU                                                                                                &  9\\\\\n",
       "\tUNC\\_HS\\_Red22\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Red22\\_BMC.Med.Genomics.2011\\_PMID.21214954   & UNC\\_HS\\_Red22\\_BMC.Med.Genomics.2011\\_PMID.21214954   & 23/179 & 430/19993 & 6.597554e-12 & 8.016028e-10 & 6.146142e-10 & SERP1/ARFGAP3/RSL24D1/GFPT1/KDELR2/MTHFD2/DNAJB9/TMED5/CCPG1/SEC61G/ARL1/IDI1/CALCOCO2/TMEM258/JMJD1C/SCFD1/RAB9A/ARL8B/MAP1LC3B/NRBF2/HSP90B1/TXNRD1/HSPA13 & 23\\\\\n",
       "\tGSEA\\_HDAC\\_TARGETS\\_DN\\_HELLER & GSEA\\_HDAC\\_TARGETS\\_DN\\_HELLER                        & GSEA\\_HDAC\\_TARGETS\\_DN\\_HELLER                        & 17/179 & 290/19993 & 1.080710e-09 & 8.350578e-08 & 6.402653e-08 & PDIA3/SERP1/HSPA5/SLC3A2/HERPUD1/ATF4/TRIB3/DDIT3/CRELD2/CEBPG/DNAJB9/CCPG1/HMOX1/SLC7A11/ATF3/CALR/PMAIP1                                                   & 17\\\\\n",
       "\tUNC\\_HS\\_Red17\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Red17\\_BMC.Med.Genomics.2011\\_PMID.21214954   & UNC\\_HS\\_Red17\\_BMC.Med.Genomics.2011\\_PMID.21214954   & 18/179 & 335/19993 & 1.374581e-09 & 8.350578e-08 & 6.402653e-08 & PDIA3/JUND/PPIB/PGM3/ARF4/SRPRA/LMAN1/TRAM1/PSAP/GCLM/P4HB/RAB9A/MAP1LC3B/PJA2/ARF1/TMCO3/CALU/SSR1                                                          & 18\\\\\n",
       "\tUNC\\_Unknown\\_10\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_Unknown\\_10\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_Unknown\\_10\\_BMC.Med.Genomics.2011\\_PMID.21214954 & 6/179  & 29/19993  & 1.895944e-07 & 9.214289e-06 & 7.064887e-06 & PDIA3/PPIB/SLC39A7/KDELR2/TMED9/PDIA5                                                                                                                        &  6\\\\\n",
       "\tUNC\\_HS\\_Red14\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Red14\\_BMC.Med.Genomics.2011\\_PMID.21214954   & UNC\\_HS\\_Red14\\_BMC.Med.Genomics.2011\\_PMID.21214954   & 12/179 & 241/19993 & 1.881719e-06 & 7.620963e-05 & 5.843233e-05 & NUPR1/SEPHS2/HOMER2/VAV3/DNAJC12/TCEA1/SQLE/TRAM1/OSER1/PGRMC2/SLC38A2/RB1CC1                                                                                & 12\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| Duke_Module07_glucosedepletion_Mike_PMID.20335537 | Duke_Module07_glucosedepletion_Mike_PMID.20335537  | Duke_Module07_glucosedepletion_Mike_PMID.20335537  | 9/179  | 27/19993  | 1.232005e-12 | 2.993772e-10 | 2.295420e-10 | SLC3A2/HERPUD1/SDF2L1/DNAJB9/DDIT4/SLC38A2/MAP1LC3B/EPRS/CALU                                                                                                |  9 |\n",
       "| UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   | UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   | 23/179 | 430/19993 | 6.597554e-12 | 8.016028e-10 | 6.146142e-10 | SERP1/ARFGAP3/RSL24D1/GFPT1/KDELR2/MTHFD2/DNAJB9/TMED5/CCPG1/SEC61G/ARL1/IDI1/CALCOCO2/TMEM258/JMJD1C/SCFD1/RAB9A/ARL8B/MAP1LC3B/NRBF2/HSP90B1/TXNRD1/HSPA13 | 23 |\n",
       "| GSEA_HDAC_TARGETS_DN_HELLER | GSEA_HDAC_TARGETS_DN_HELLER                        | GSEA_HDAC_TARGETS_DN_HELLER                        | 17/179 | 290/19993 | 1.080710e-09 | 8.350578e-08 | 6.402653e-08 | PDIA3/SERP1/HSPA5/SLC3A2/HERPUD1/ATF4/TRIB3/DDIT3/CRELD2/CEBPG/DNAJB9/CCPG1/HMOX1/SLC7A11/ATF3/CALR/PMAIP1                                                   | 17 |\n",
       "| UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   | UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   | 18/179 | 335/19993 | 1.374581e-09 | 8.350578e-08 | 6.402653e-08 | PDIA3/JUND/PPIB/PGM3/ARF4/SRPRA/LMAN1/TRAM1/PSAP/GCLM/P4HB/RAB9A/MAP1LC3B/PJA2/ARF1/TMCO3/CALU/SSR1                                                          | 18 |\n",
       "| UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 | UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 | UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 | 6/179  | 29/19993  | 1.895944e-07 | 9.214289e-06 | 7.064887e-06 | PDIA3/PPIB/SLC39A7/KDELR2/TMED9/PDIA5                                                                                                                        |  6 |\n",
       "| UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954   | UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954   | 12/179 | 241/19993 | 1.881719e-06 | 7.620963e-05 | 5.843233e-05 | NUPR1/SEPHS2/HOMER2/VAV3/DNAJC12/TCEA1/SQLE/TRAM1/OSER1/PGRMC2/SLC38A2/RB1CC1                                                                                | 12 |\n",
       "\n"
      ],
      "text/plain": [
       "                                                   ID                                                \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  Duke_Module07_glucosedepletion_Mike_PMID.20335537 \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        GSEA_HDAC_TARGETS_DN_HELLER                       \n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954\n",
       "UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "                                                   Description                                       \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  Duke_Module07_glucosedepletion_Mike_PMID.20335537 \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        GSEA_HDAC_TARGETS_DN_HELLER                       \n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954\n",
       "UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954   UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954  \n",
       "                                                   GeneRatio BgRatio  \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  9/179     27/19993 \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   23/179    430/19993\n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        17/179    290/19993\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   18/179    335/19993\n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 6/179     29/19993 \n",
       "UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954   12/179    241/19993\n",
       "                                                   pvalue       p.adjust    \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  1.232005e-12 2.993772e-10\n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   6.597554e-12 8.016028e-10\n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        1.080710e-09 8.350578e-08\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   1.374581e-09 8.350578e-08\n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 1.895944e-07 9.214289e-06\n",
       "UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954   1.881719e-06 7.620963e-05\n",
       "                                                   qvalue      \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  2.295420e-10\n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   6.146142e-10\n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        6.402653e-08\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   6.402653e-08\n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 7.064887e-06\n",
       "UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954   5.843233e-05\n",
       "                                                   geneID                                                                                                                                                      \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537  SLC3A2/HERPUD1/SDF2L1/DNAJB9/DDIT4/SLC38A2/MAP1LC3B/EPRS/CALU                                                                                               \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   SERP1/ARFGAP3/RSL24D1/GFPT1/KDELR2/MTHFD2/DNAJB9/TMED5/CCPG1/SEC61G/ARL1/IDI1/CALCOCO2/TMEM258/JMJD1C/SCFD1/RAB9A/ARL8B/MAP1LC3B/NRBF2/HSP90B1/TXNRD1/HSPA13\n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        PDIA3/SERP1/HSPA5/SLC3A2/HERPUD1/ATF4/TRIB3/DDIT3/CRELD2/CEBPG/DNAJB9/CCPG1/HMOX1/SLC7A11/ATF3/CALR/PMAIP1                                                  \n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   PDIA3/JUND/PPIB/PGM3/ARF4/SRPRA/LMAN1/TRAM1/PSAP/GCLM/P4HB/RAB9A/MAP1LC3B/PJA2/ARF1/TMCO3/CALU/SSR1                                                         \n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954 PDIA3/PPIB/SLC39A7/KDELR2/TMED9/PDIA5                                                                                                                       \n",
       "UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954   NUPR1/SEPHS2/HOMER2/VAV3/DNAJC12/TCEA1/SQLE/TRAM1/OSER1/PGRMC2/SLC38A2/RB1CC1                                                                               \n",
       "                                                   Count\n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537   9   \n",
       "UNC_HS_Red22_BMC.Med.Genomics.2011_PMID.21214954   23   \n",
       "GSEA_HDAC_TARGETS_DN_HELLER                        17   \n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954   18   \n",
       "UNC_Unknown_10_BMC.Med.Genomics.2011_PMID.21214954  6   \n",
       "UNC_HS_Red14_BMC.Med.Genomics.2011_PMID.21214954   12   "
      ]
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       "</style>\n",
       "<ol class=list-inline><li>37</li><li>9</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 37\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 37\n",
       "2. 9\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 37  9"
      ]
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     "data": {
      "text/html": [
       "filename_xlsx: xlsx/er+bc-pairs_cluster2_vs_cluster19_Tumor_cells.xlsx\n"
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       "filename_figure: heatmap_er+bc-pairs_cluster2_vs_cluster19_Tumor_cells_zscore\n"
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tAAYMte0n9i0w/t+yZpJZltZDWp3+e3Hv3njqGlWLIBFv0PtoaL/SZQZeKloFNV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\nTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "list_markers <- find_markers(rna, sample1 = sample1,\n",
    "                        sample_ref = sample_ref,\n",
    "                        pattern_sample1 = pattern_sample1,\n",
    "                        pattern_sample_ref = pattern_sample_ref,\n",
    "                             \n",
    "                        # pattern_tumor_epi     \n",
    "                        pattern_cell_type1 = pattern_tumor_epi,\n",
    "                        pattern_cell_type_ref = pattern_tumor_epi,\n",
    "                             \n",
    "                        # cluster number\n",
    "                        str_column_of_meta_data_cluster = str_column_of_meta_data_cluster,\n",
    "                        clusters1 = clusters1,\n",
    "                        clusters_ref = clusters_ref,\n",
    "                             \n",
    "                        group_name1 = sprintf(\"%s Tumor cells\", group_name1),\n",
    "                        group_name_ref = sprintf(\"%s Tumor cells\", group_name_ref),\n",
    "                        col_cluster_types = col_cluster_types_,\n",
    "                        col_cell_types = col_cell_types_,\n",
    "                        th_log2fc = th_log2fc_,\n",
    "                        th_padj = th_padj_, \n",
    "                        min.pct = min.pct_,\n",
    "                        min.diff.pct = min.diff.pct_,\n",
    "                        max.cells.per.ident = max.cells.per.ident_,\n",
    "                        method_dge = method_dge)\n",
    "\n",
    "str_condition_tmp <- sprintf(\"%s_%s_vs_%s_Tumor cells\",\n",
    "                             str_condition,\n",
    "                             group_name_ref, group_name1)\n",
    "\n",
    "if (type_condition != \"none\") {\n",
    "          str_condition_tmp <- sprintf(\"%s_%s\", str_condition_tmp, type_condition)\n",
    "}\n",
    "\n",
    "list_ea <- execute_enrichment_analysis(list_markers$markers,\n",
    "                        str_condition_tmp,\n",
    "                        th_log2fc = th_log2fc_,\n",
    "                        th_padj = th_padj_,\n",
    "                        method_dge = method_dge,\n",
    "                        dir_xlsx = dir_xlsx,       \n",
    "                        n_log = 1)\n",
    "\n",
    "\n",
    "genes_up <- rownames(list_ea$df_up)\n",
    "genes_dn <- rownames(list_ea$df_dn)\n",
    "list_genes_dn[[\"Epi\"]] <- genes_dn\n",
    "\n",
    "if (f_featureplot) {\n",
    "    gg <- featureplot_enrichment_analysis(rna,\n",
    "                list_ea,\n",
    "                str_condition_tmp)\n",
    "}\n",
    "\n",
    "list_out_heatmap <- heatmap_enrichment_analysis(list_markers,\n",
    "                    list_ea,\n",
    "                    str_condition_tmp,\n",
    "                    pattern_gene_removal=\"^MT-|^RPS|^RPL\",\n",
    "                    max_up=5, max_dn=5,\n",
    "                    n_sampling=n_sampling,\n",
    "                    cluster_rows=cluster_rows)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8ec5414",
   "metadata": {},
   "source": [
    "# session info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "04158981",
   "metadata": {},
   "outputs": [],
   "source": [
    "writeLines(capture.output(sessionInfo()), \"txt/sessionInfo.txt\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11a8c620",
   "metadata": {},
   "source": [
    "# reference"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "674ff0fb",
   "metadata": {},
   "source": [
    "https://satijalab.org/seurat/\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1dad838f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "R 4.1.2",
   "language": "R",
   "name": "r4.1.2"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.1.2"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "258px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}