R.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyP4F6mhlWHZhTCBFvDOcw2H",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "ir",
      "display_name": "R"
    },
    "language_info": {
      "name": "R"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/nunososorio/bhs/blob/main/R.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Instalações"
      ],
      "metadata": {
        "id": "cPygAkWkR5pQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Instal...."
      ],
      "metadata": {
        "id": "d4BnnrcXR8kt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Download do dataset\n",
        "![VD_chr1.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "nf0gGzrwQNBM"
      }
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "QViHpzGQRbft"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "url <- \"https://ftp.ncbi.nlm.nih.gov/geo/series/GSE128nnn/GSE128661/suppl/GSE128661%5FWT%5FCtrl%5Fvs.%5FWT%5FAf%5F2h.xlsx\"\n",
        "destfile <- \"data.xlsx\"\n",
        "download.file(url, destfile)"
      ],
      "metadata": {
        "id": "mXKtJ1HsOi67"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "install.packages(\"readxl\")"
      ],
      "metadata": {
        "id": "u2Yku-qnMNyZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "library(readxl)"
      ],
      "metadata": {
        "id": "5LfajQdRM25n"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data <- read_excel(\"data.xlsx\")"
      ],
      "metadata": {
        "id": "kmAACkj5Lj54"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Exploração da matrix de contagens"
      ],
      "metadata": {
        "id": "gGNjEhNDQSxK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data"
      ],
      "metadata": {
        "id": "EFywOdfqO8Jq",
        "outputId": "956567ac-5b8e-42b5-a2c3-b42a93c096c0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A tibble: 39680 × 125</caption>\n",
              "<thead>\n",
              "\t<tr><th scope=col>Feature ID</th><th scope=col>Experiment - Range (original values)</th><th scope=col>Experiment - IQR (original values)</th><th scope=col>Experiment - Difference (original values)</th><th scope=col>Experiment - Fold Change (original values)</th><th scope=col>EDGE test: WT Ctrl vs WT Af_2h, tagwise dispersions - P-value</th><th scope=col>EDGE test: WT Ctrl vs WT Af_2h, tagwise dispersions - Fold change</th><th scope=col>EDGE test: WT Ctrl vs WT Af_2h, tagwise dispersions - Weighted difference</th><th scope=col>EDGE test: WT Ctrl vs WT Af_2h, tagwise dispersions - FDR p-value correction</th><th scope=col>WT Ctrl - 17014-0001_S1_(GE) - Expression values</th><th scope=col>⋯</th><th scope=col>WT Af_2h - 17014-0009_S9_(GE) - Total exon-exon reads</th><th scope=col>WT Af_2h - 17014-0009_S9_(GE) - Unique intron reads</th><th scope=col>WT Af_2h - 17014-0009_S9_(GE) - Total intron reads</th><th scope=col>WT Af_2h - 17014-0009_S9_(GE) - Ratio of intron to total gene reads</th><th scope=col>WT Af_2h - 17014-0009_S9_(GE) - Exons</th><th scope=col>WT Af_2h - 17014-0009_S9_(GE) - RPKM</th><th scope=col>WT Af_2h - 17014-0009_S9_(GE) - Chromosome</th><th scope=col>WT Af_2h - 17014-0009_S9_(GE) - Chromosome region start</th><th scope=col>WT Af_2h - 17014-0009_S9_(GE) - Chromosome region end</th><th scope=col>WT Af_2h - Means</th></tr>\n",
              "\t<tr><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;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>⋯</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;chr&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><td>3.8-1.3 </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>        NA</td><td> 0</td><td>0.000000e+00</td><td>chr6 </td><td> 29878011</td><td> 29879177</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>3.8-1.4 </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>        NA</td><td> 0</td><td>0.000000e+00</td><td>chr6 </td><td> 29833691</td><td> 29834864</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>3.8-1.5 </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>        NA</td><td> 0</td><td>0.000000e+00</td><td>chr6 </td><td> 29732892</td><td> 29734073</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>5-HT3C2 </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>        NA</td><td> 0</td><td>0.000000e+00</td><td>chr3 </td><td>183794433</td><td>183802119</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>A1BG    </td><td>  120</td><td>  29</td><td>   29.6666667</td><td> 1.390351</td><td>0.965931109</td><td>-1.010500</td><td>-5.785314e-08</td><td>1.0000000</td><td>   77</td><td>⋯</td><td>   31</td><td> 74</td><td>103</td><td>0.38289963</td><td>11</td><td>2.343971e+00</td><td>chr19</td><td> 58858171</td><td> 58864865</td><td>1.056667e+02</td></tr>\n",
              "\t<tr><td>A1BG-AS1</td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td> 75</td><td>154</td><td>1.00000000</td><td> 0</td><td>1.253702e+00</td><td>chr19</td><td> 58863335</td><td> 58866549</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>A1CF    </td><td>    1</td><td>   0</td><td>    0.0000000</td><td>-1.000000</td><td>1.000000000</td><td>-1.299993</td><td>-7.391001e-09</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>0.00000000</td><td>19</td><td>2.745821e-03</td><td>chr10</td><td> 52559168</td><td> 52645435</td><td>3.333333e-01</td></tr>\n",
              "\t<tr><td>A2M     </td><td>52476</td><td>9495</td><td>14807.0000000</td><td> 1.603308</td><td>0.552001911</td><td> 1.089459</td><td> 1.602609e-04</td><td>1.0000000</td><td>27568</td><td>⋯</td><td>35048</td><td>183</td><td>193</td><td>0.00287802</td><td>36</td><td>3.760091e+02</td><td>chr12</td><td>  9220303</td><td>  9268558</td><td>3.935000e+04</td></tr>\n",
              "\t<tr><td>A2M-AS1 </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td> 15</td><td> 15</td><td>1.00000000</td><td> 0</td><td>1.363230e-01</td><td>chr12</td><td>  9217772</td><td>  9220651</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>A2ML1   </td><td>    2</td><td>   1</td><td>    0.0000000</td><td>-1.000000</td><td>1.000000000</td><td>-1.335160</td><td>-2.021694e-08</td><td>1.0000000</td><td>    2</td><td>⋯</td><td>    1</td><td>  8</td><td>  8</td><td>0.88888889</td><td>38</td><td>4.800905e-03</td><td>chr12</td><td>  8975149</td><td>  9029381</td><td>1.000000e+00</td></tr>\n",
              "\t<tr><td>A2MP1   </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>        NA</td><td> 0</td><td>0.000000e+00</td><td>chr12</td><td>  9381128</td><td>  9386803</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>A3GALT2 </td><td>    1</td><td>   0</td><td>   -0.3333333</td><td>       NA</td><td>1.000000000</td><td>-4.188553</td><td>-2.429740e-08</td><td>1.0000000</td><td>    1</td><td>⋯</td><td>    0</td><td>  8</td><td>  8</td><td>1.00000000</td><td> 5</td><td>0.000000e+00</td><td>chr1 </td><td> 33772366</td><td> 33786699</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>A4GALT  </td><td>  374</td><td>  32</td><td>  127.6666667</td><td> 5.848101</td><td>0.021492044</td><td> 5.019092</td><td> 7.516690e-06</td><td>0.4075383</td><td>   64</td><td>⋯</td><td>    0</td><td>  7</td><td>  7</td><td>0.14583333</td><td>11</td><td>3.526503e-01</td><td>chr22</td><td> 43088122</td><td> 43117307</td><td>1.540000e+02</td></tr>\n",
              "\t<tr><td>A4GNT   </td><td>    9</td><td>   5</td><td>   -0.6666667</td><td>-1.142857</td><td>0.381754318</td><td>-1.597118</td><td>-1.488439e-07</td><td>1.0000000</td><td>    5</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>0.00000000</td><td> 3</td><td>1.034187e-01</td><td>chr3 </td><td>137842559</td><td>137851229</td><td>4.666667e+00</td></tr>\n",
              "\t<tr><td>AA06    </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>        NA</td><td> 0</td><td>0.000000e+00</td><td>chr17</td><td> 31856805</td><td> 31860779</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>AAAS    </td><td>  507</td><td>  77</td><td>  112.3333333</td><td> 1.355111</td><td>0.765357655</td><td>-1.045537</td><td>-1.007185e-06</td><td>1.0000000</td><td>  340</td><td>⋯</td><td>  463</td><td> 57</td><td> 57</td><td>0.07569721</td><td>16</td><td>9.913333e+00</td><td>chr12</td><td> 53701239</td><td> 53715412</td><td>4.286667e+02</td></tr>\n",
              "\t<tr><td>AACP    </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>        NA</td><td> 0</td><td>0.000000e+00</td><td>chr8 </td><td> 18227418</td><td> 18229387</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>AACS    </td><td>  527</td><td>  23</td><td>  141.0000000</td><td> 1.577869</td><td>0.658118860</td><td> 1.074046</td><td> 1.322903e-06</td><td>1.0000000</td><td>  245</td><td>⋯</td><td>  251</td><td> 79</td><td> 79</td><td>0.10381078</td><td>20</td><td>5.360314e+00</td><td>chr12</td><td>125549924</td><td>125627879</td><td>3.850000e+02</td></tr>\n",
              "\t<tr><td>AACSP1  </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>        NA</td><td> 0</td><td>0.000000e+00</td><td>chr5 </td><td>178191861</td><td>178203277</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>AADAC   </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>        NA</td><td> 9</td><td>0.000000e+00</td><td>chr3 </td><td>151531768</td><td>151546276</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>AADACL2 </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>        NA</td><td> 5</td><td>0.000000e+00</td><td>chr3 </td><td>151451703</td><td>151475556</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>AADACL3 </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>        NA</td><td> 4</td><td>0.000000e+00</td><td>chr1 </td><td> 12776117</td><td> 12788726</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>AADACL4 </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>        NA</td><td> 4</td><td>0.000000e+00</td><td>chr1 </td><td> 12704565</td><td> 12727097</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>AADAT   </td><td>    0</td><td>   0</td><td>    0.0000000</td><td> 1.000000</td><td>1.000000000</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.0000000</td><td>    0</td><td>⋯</td><td>    0</td><td>  0</td><td>  0</td><td>        NA</td><td>19</td><td>0.000000e+00</td><td>chr4 </td><td>170981372</td><td>171012823</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>AAED1   </td><td>  411</td><td>  21</td><td>  181.6666667</td><td> 2.189956</td><td>0.004554695</td><td> 1.557962</td><td> 6.221079e-06</td><td>0.1252462</td><td>  173</td><td>⋯</td><td>  213</td><td> 19</td><td> 19</td><td>0.03417266</td><td> 9</td><td>8.500041e+00</td><td>chr9 </td><td> 99403108</td><td> 99417603</td><td>3.343333e+02</td></tr>\n",
              "\t<tr><td>AAGAB   </td><td>  746</td><td>  55</td><td>   79.0000000</td><td> 1.172489</td><td>0.125836185</td><td>-1.253411</td><td>-6.775394e-06</td><td>1.0000000</td><td>  470</td><td>⋯</td><td>  383</td><td> 58</td><td> 59</td><td>0.05684008</td><td>15</td><td>7.299934e+00</td><td>chr15</td><td> 67493012</td><td> 67547536</td><td>5.370000e+02</td></tr>\n",
              "\t<tr><td>AAK1    </td><td> 1007</td><td> 110</td><td>  213.6666667</td><td> 1.302930</td><td>0.625300717</td><td>-1.067100</td><td>-3.245629e-06</td><td>1.0000000</td><td>  720</td><td>⋯</td><td>  220</td><td>180</td><td>180</td><td>0.10968921</td><td>27</td><td>1.752727e+00</td><td>chr2 </td><td> 69685126</td><td> 69901566</td><td>9.190000e+02</td></tr>\n",
              "\t<tr><td>AAMDC   </td><td>  104</td><td>  15</td><td>   15.3333333</td><td> 1.270588</td><td>0.443252911</td><td>-1.162317</td><td>-5.786259e-07</td><td>1.0000000</td><td>   65</td><td>⋯</td><td>   67</td><td> 15</td><td> 17</td><td>0.11971831</td><td> 6</td><td>5.388166e+00</td><td>chr11</td><td> 77532146</td><td> 77583398</td><td>7.200000e+01</td></tr>\n",
              "\t<tr><td>AAMP    </td><td> 1583</td><td> 320</td><td>  403.0000000</td><td> 1.295599</td><td>0.823187782</td><td>-1.031054</td><td>-3.006928e-06</td><td>1.0000000</td><td> 1342</td><td>⋯</td><td> 1321</td><td> 43</td><td> 43</td><td>0.01644989</td><td>13</td><td>3.745548e+01</td><td>chr2 </td><td>219128851</td><td>219134893</td><td>1.766333e+03</td></tr>\n",
              "\t<tr><td>AANAT   </td><td>   25</td><td>   5</td><td>   10.0000000</td><td> 1.769231</td><td>0.380847121</td><td> 1.286079</td><td> 2.744140e-07</td><td>1.0000000</td><td>   12</td><td>⋯</td><td>    1</td><td> 68</td><td> 68</td><td>0.66019417</td><td> 8</td><td>4.375407e-01</td><td>chr17</td><td> 74449432</td><td> 74466199</td><td>2.300000e+01</td></tr>\n",
              "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋱</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
              "\t<tr><td>ZSCAN4    </td><td>    1</td><td>   0</td><td>   0.3333333</td><td>       NA</td><td>1.000000e+00</td><td> 3.227369</td><td> 1.697299e-08</td><td>1.000000000</td><td>    0</td><td>⋯</td><td>   1</td><td>  2</td><td>  2</td><td>0.66666667</td><td> 5</td><td>1.164957e-02</td><td>chr19</td><td> 58180302</td><td> 58190520</td><td>3.333333e-01</td></tr>\n",
              "\t<tr><td>ZSCAN5A   </td><td>  136</td><td>   4</td><td>  -1.3333333</td><td>-1.010724</td><td>5.041983e-02</td><td>-1.398087</td><td>-2.609459e-06</td><td>0.742359524</td><td>  153</td><td>⋯</td><td>  47</td><td> 34</td><td> 62</td><td>0.23664122</td><td>11</td><td>2.132431e+00</td><td>chr19</td><td> 56732671</td><td> 56826208</td><td>1.243333e+02</td></tr>\n",
              "\t<tr><td>ZSCAN5B   </td><td>    5</td><td>   1</td><td>   2.0000000</td><td> 7.000000</td><td>2.428649e-01</td><td> 3.905143</td><td> 9.278139e-08</td><td>1.000000000</td><td>    1</td><td>⋯</td><td>   3</td><td>  0</td><td>  0</td><td>0.00000000</td><td> 6</td><td>7.549028e-02</td><td>chr19</td><td> 56701057</td><td> 56709207</td><td>2.333333e+00</td></tr>\n",
              "\t<tr><td>ZSCAN5C   </td><td>    0</td><td>   0</td><td>   0.0000000</td><td> 1.000000</td><td>1.000000e+00</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.000000000</td><td>    0</td><td>⋯</td><td>   0</td><td>  1</td><td>  1</td><td>1.00000000</td><td> 0</td><td>7.129409e-03</td><td>chr19</td><td> 56717153</td><td> 56720823</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>ZSCAN9    </td><td>   81</td><td>   5</td><td>  15.6666667</td><td> 1.367188</td><td>9.395131e-01</td><td>-1.029038</td><td>-8.874856e-08</td><td>1.000000000</td><td>   33</td><td>⋯</td><td>  16</td><td>109</td><td>110</td><td>0.50228311</td><td> 8</td><td>1.553365e+00</td><td>chr6 </td><td> 28193028</td><td> 28201265</td><td>5.833333e+01</td></tr>\n",
              "\t<tr><td>ZSWIM1    </td><td>  100</td><td>  14</td><td>  15.0000000</td><td> 1.171756</td><td>3.986060e-01</td><td>-1.162510</td><td>-8.930765e-07</td><td>1.000000000</td><td>   95</td><td>⋯</td><td>   0</td><td>  3</td><td>  3</td><td>0.01875000</td><td> 5</td><td>1.286934e+00</td><td>chr20</td><td> 44509580</td><td> 44513905</td><td>1.023333e+02</td></tr>\n",
              "\t<tr><td>ZSWIM2    </td><td>    0</td><td>   0</td><td>   0.0000000</td><td> 1.000000</td><td>1.000000e+00</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.000000000</td><td>    0</td><td>⋯</td><td>   0</td><td>  0</td><td>  0</td><td>        NA</td><td> 9</td><td>0.000000e+00</td><td>chr2 </td><td>187692206</td><td>187713897</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>ZSWIM3    </td><td>   64</td><td>   4</td><td>  -2.6666667</td><td>-1.060606</td><td>4.770016e-02</td><td>-1.558051</td><td>-1.221944e-06</td><td>0.715040211</td><td>   55</td><td>⋯</td><td>   0</td><td>  1</td><td>  1</td><td>0.01315789</td><td> 2</td><td>6.963697e-01</td><td>chr20</td><td> 44486219</td><td> 44507770</td><td>4.400000e+01</td></tr>\n",
              "\t<tr><td>ZSWIM4    </td><td>  237</td><td>  25</td><td> 113.0000000</td><td> 2.533937</td><td>9.518849e-04</td><td> 1.864933</td><td> 4.644613e-06</td><td>0.034305896</td><td>   94</td><td>⋯</td><td>  47</td><td> 14</td><td> 14</td><td>0.04635762</td><td>16</td><td>1.593129e+00</td><td>chr19</td><td> 13906257</td><td> 13943068</td><td>1.866667e+02</td></tr>\n",
              "\t<tr><td>ZSWIM5    </td><td>    1</td><td>   0</td><td>   0.6666667</td><td>       NA</td><td>5.100747e-01</td><td> 5.801828</td><td> 3.659087e-08</td><td>1.000000000</td><td>    0</td><td>⋯</td><td>   0</td><td>  5</td><td>  7</td><td>1.00000000</td><td>19</td><td>0.000000e+00</td><td>chr1 </td><td> 45482070</td><td> 45672250</td><td>6.666667e-01</td></tr>\n",
              "\t<tr><td>ZSWIM5P1  </td><td>    0</td><td>   0</td><td>   0.0000000</td><td> 1.000000</td><td>1.000000e+00</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.000000000</td><td>    0</td><td>⋯</td><td>   0</td><td>  0</td><td>  0</td><td>        NA</td><td> 0</td><td>0.000000e+00</td><td>chr17</td><td> 15672033</td><td> 15674739</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>ZSWIM5P2  </td><td>    0</td><td>   0</td><td>   0.0000000</td><td> 1.000000</td><td>1.000000e+00</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.000000000</td><td>    0</td><td>⋯</td><td>   0</td><td>  0</td><td>  0</td><td>        NA</td><td> 0</td><td>0.000000e+00</td><td>chr17</td><td> 20487070</td><td> 20489771</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>ZSWIM5P3  </td><td>    0</td><td>   0</td><td>   0.0000000</td><td> 1.000000</td><td>1.000000e+00</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.000000000</td><td>    0</td><td>⋯</td><td>   0</td><td>  0</td><td>  0</td><td>        NA</td><td> 0</td><td>0.000000e+00</td><td>chr4 </td><td>130057086</td><td>130060895</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>ZSWIM6    </td><td> 1009</td><td>  32</td><td> 496.0000000</td><td> 2.084548</td><td>2.555861e-03</td><td> 1.561909</td><td> 1.876166e-05</td><td>0.077358172</td><td>  511</td><td>⋯</td><td> 331</td><td>166</td><td>352</td><td>0.20335066</td><td>14</td><td>6.556686e+00</td><td>chr5 </td><td> 60628099</td><td> 60841999</td><td>9.533333e+02</td></tr>\n",
              "\t<tr><td>ZSWIM7    </td><td>  212</td><td>  30</td><td>  36.3333333</td><td> 1.314121</td><td>5.119833e-01</td><td>-1.117301</td><td>-8.865319e-07</td><td>1.000000000</td><td>  135</td><td>⋯</td><td>  56</td><td> 41</td><td> 43</td><td>0.13870968</td><td> 7</td><td>3.479102e+00</td><td>chr17</td><td> 15879873</td><td> 15903006</td><td>1.520000e+02</td></tr>\n",
              "\t<tr><td>ZSWIM8    </td><td> 1124</td><td> 164</td><td> 400.3333333</td><td> 1.516115</td><td>3.942231e-01</td><td> 1.121019</td><td> 6.858322e-06</td><td>1.000000000</td><td>  840</td><td>⋯</td><td> 623</td><td> 58</td><td>116</td><td>0.06260119</td><td>34</td><td>7.437160e+00</td><td>chr10</td><td> 75545333</td><td> 75561556</td><td>1.176000e+03</td></tr>\n",
              "\t<tr><td>ZSWIM8-AS1</td><td>    0</td><td>   0</td><td>   0.0000000</td><td> 1.000000</td><td>1.000000e+00</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.000000000</td><td>    0</td><td>⋯</td><td>   0</td><td>  0</td><td>  0</td><td>        NA</td><td> 0</td><td>0.000000e+00</td><td>chr10</td><td> 75556271</td><td> 75561157</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>ZUFSP     </td><td>  191</td><td>  18</td><td>  18.3333333</td><td> 1.144357</td><td>1.570314e-01</td><td>-1.261548</td><td>-1.925632e-06</td><td>1.000000000</td><td>  137</td><td>⋯</td><td>  93</td><td> 21</td><td> 22</td><td>0.08029197</td><td>10</td><td>2.982163e+00</td><td>chr6 </td><td>116956780</td><td>116989973</td><td>1.453333e+02</td></tr>\n",
              "\t<tr><td>ZW10      </td><td>  302</td><td>  24</td><td>  17.0000000</td><td> 1.069293</td><td>6.372752e-02</td><td>-1.310502</td><td>-4.252049e-06</td><td>0.862451597</td><td>  257</td><td>⋯</td><td> 192</td><td> 12</td><td> 13</td><td>0.02914798</td><td>16</td><td>3.843085e+00</td><td>chr11</td><td>113603904</td><td>113644485</td><td>2.623333e+02</td></tr>\n",
              "\t<tr><td>ZWILCH    </td><td>  224</td><td>  36</td><td>  61.3333333</td><td> 1.419134</td><td>9.224332e-01</td><td> 1.019555</td><td> 2.088810e-07</td><td>1.000000000</td><td>  170</td><td>⋯</td><td> 168</td><td>  8</td><td> 13</td><td>0.04000000</td><td>19</td><td>2.564706e+00</td><td>chr15</td><td> 66797430</td><td> 66841823</td><td>2.076667e+02</td></tr>\n",
              "\t<tr><td>ZWINT     </td><td>  596</td><td> 209</td><td>  97.6666667</td><td> 1.353865</td><td>5.600961e-01</td><td>-1.163499</td><td>-2.836065e-06</td><td>1.000000000</td><td>  296</td><td>⋯</td><td> 255</td><td> 11</td><td> 11</td><td>0.01605839</td><td>14</td><td>8.548310e+00</td><td>chr10</td><td> 58117015</td><td> 58121063</td><td>3.736667e+02</td></tr>\n",
              "\t<tr><td>ZXDA      </td><td>   82</td><td>  12</td><td>  47.3333333</td><td> 3.679245</td><td>2.058773e-05</td><td> 2.651312</td><td> 2.142344e-06</td><td>0.001187385</td><td>   21</td><td>⋯</td><td>   0</td><td>  0</td><td>  0</td><td>0.00000000</td><td> 1</td><td>4.877015e-01</td><td>chr23</td><td> 57931863</td><td> 57937067</td><td>6.500000e+01</td></tr>\n",
              "\t<tr><td>ZXDB      </td><td>  196</td><td>  18</td><td>  87.6666667</td><td> 2.308458</td><td>3.918561e-03</td><td> 1.662093</td><td> 3.250491e-06</td><td>0.110825732</td><td>   68</td><td>⋯</td><td>   0</td><td>  0</td><td>  0</td><td>0.00000000</td><td> 1</td><td>1.196482e+00</td><td>chr23</td><td> 57618268</td><td> 57623910</td><td>1.546667e+02</td></tr>\n",
              "\t<tr><td>ZXDC      </td><td>  412</td><td>  96</td><td> 100.6666667</td><td> 1.270125</td><td>7.770913e-01</td><td>-1.046298</td><td>-1.203377e-06</td><td>1.000000000</td><td>  426</td><td>⋯</td><td>  82</td><td>100</td><td>100</td><td>0.12903226</td><td>14</td><td>1.118726e+00</td><td>chr3 </td><td>126156443</td><td>126194773</td><td>4.733333e+02</td></tr>\n",
              "\t<tr><td>ZYG11A    </td><td>    1</td><td>   0</td><td>   0.0000000</td><td>-1.000000</td><td>1.000000e+00</td><td>-1.235882</td><td>-6.093308e-09</td><td>1.000000000</td><td>    1</td><td>⋯</td><td>   0</td><td>  2</td><td>  2</td><td>1.00000000</td><td>14</td><td>0.000000e+00</td><td>chr1 </td><td> 53308182</td><td> 53360247</td><td>3.333333e-01</td></tr>\n",
              "\t<tr><td>ZYG11AP1  </td><td>    0</td><td>   0</td><td>   0.0000000</td><td> 1.000000</td><td>1.000000e+00</td><td> 1.000000</td><td> 0.000000e+00</td><td>1.000000000</td><td>    0</td><td>⋯</td><td>   0</td><td>  0</td><td>  0</td><td>        NA</td><td> 0</td><td>0.000000e+00</td><td>chr9 </td><td>105373385</td><td>105374251</td><td>0.000000e+00</td></tr>\n",
              "\t<tr><td>ZYG11B    </td><td>  320</td><td>  94</td><td> -65.3333333</td><td>-1.223235</td><td>4.769794e-04</td><td>-1.688513</td><td>-1.064585e-05</td><td>0.019234290</td><td>  420</td><td>⋯</td><td>  79</td><td> 34</td><td> 42</td><td>0.08123791</td><td>15</td><td>1.525324e+00</td><td>chr1 </td><td> 53192125</td><td> 53293014</td><td>2.926667e+02</td></tr>\n",
              "\t<tr><td>ZYX       </td><td>21595</td><td>3350</td><td>6001.6666667</td><td> 1.341631</td><td>9.773032e-01</td><td> 1.003588</td><td> 4.623899e-06</td><td>1.000000000</td><td>16038</td><td>⋯</td><td>9820</td><td>492</td><td>521</td><td>0.01452548</td><td>12</td><td>3.972731e+02</td><td>chr7 </td><td>143078337</td><td>143088204</td><td>2.356933e+04</td></tr>\n",
              "\t<tr><td>ZZEF1     </td><td> 1816</td><td>  24</td><td> 385.0000000</td><td> 1.268542</td><td>5.697098e-01</td><td>-1.072695</td><td>-7.111185e-06</td><td>1.000000000</td><td> 1446</td><td>⋯</td><td>1025</td><td>143</td><td>144</td><td>0.04896294</td><td>61</td><td>6.097085e+00</td><td>chr17</td><td>  3907738</td><td>  4046314</td><td>1.818667e+03</td></tr>\n",
              "\t<tr><td>ZZZ3      </td><td>  456</td><td> 181</td><td> -98.0000000</td><td>-1.265583</td><td>5.970000e-05</td><td>-1.804698</td><td>-1.522793e-05</td><td>0.003080489</td><td>  492</td><td>⋯</td><td> 165</td><td> 90</td><td> 90</td><td>0.12569832</td><td>21</td><td>2.509845e+00</td><td>chr1 </td><td> 78028159</td><td> 78149119</td><td>3.690000e+02</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/markdown": "\nA tibble: 39680 × 125\n\n| Feature ID &lt;chr&gt; | Experiment - Range (original values) &lt;dbl&gt; | Experiment - IQR (original values) &lt;dbl&gt; | Experiment - Difference (original values) &lt;dbl&gt; | Experiment - Fold Change (original values) &lt;dbl&gt; | EDGE test: WT Ctrl vs WT Af_2h, tagwise dispersions - P-value &lt;dbl&gt; | EDGE test: WT Ctrl vs WT Af_2h, tagwise dispersions - Fold change &lt;dbl&gt; | EDGE test: WT Ctrl vs WT Af_2h, tagwise dispersions - Weighted difference &lt;dbl&gt; | EDGE test: WT Ctrl vs WT Af_2h, tagwise dispersions - FDR p-value correction &lt;dbl&gt; | WT Ctrl - 17014-0001_S1_(GE) - Expression values &lt;dbl&gt; | ⋯ ⋯ | WT Af_2h - 17014-0009_S9_(GE) - Total exon-exon reads &lt;dbl&gt; | WT Af_2h - 17014-0009_S9_(GE) - Unique intron reads &lt;dbl&gt; | WT Af_2h - 17014-0009_S9_(GE) - Total intron reads &lt;dbl&gt; | WT Af_2h - 17014-0009_S9_(GE) - Ratio of intron to total gene reads &lt;dbl&gt; | WT Af_2h - 17014-0009_S9_(GE) - Exons &lt;dbl&gt; | WT Af_2h - 17014-0009_S9_(GE) - RPKM &lt;dbl&gt; | WT Af_2h - 17014-0009_S9_(GE) - Chromosome &lt;chr&gt; | WT Af_2h - 17014-0009_S9_(GE) - Chromosome region start &lt;dbl&gt; | WT Af_2h - 17014-0009_S9_(GE) - Chromosome region end &lt;dbl&gt; | WT Af_2h - Means &lt;dbl&gt; |\n|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| 3.8-1.3  |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 |         NA |  0 | 0.000000e+00 | chr6  |  29878011 |  29879177 | 0.000000e+00 |\n| 3.8-1.4  |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 |         NA |  0 | 0.000000e+00 | chr6  |  29833691 |  29834864 | 0.000000e+00 |\n| 3.8-1.5  |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 |         NA |  0 | 0.000000e+00 | chr6  |  29732892 |  29734073 | 0.000000e+00 |\n| 5-HT3C2  |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 |         NA |  0 | 0.000000e+00 | chr3  | 183794433 | 183802119 | 0.000000e+00 |\n| A1BG     |   120 |   29 |    29.6666667 |  1.390351 | 0.965931109 | -1.010500 | -5.785314e-08 | 1.0000000 |    77 | ⋯ |    31 |  74 | 103 | 0.38289963 | 11 | 2.343971e+00 | chr19 |  58858171 |  58864865 | 1.056667e+02 |\n| A1BG-AS1 |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |  75 | 154 | 1.00000000 |  0 | 1.253702e+00 | chr19 |  58863335 |  58866549 | 0.000000e+00 |\n| A1CF     |     1 |    0 |     0.0000000 | -1.000000 | 1.000000000 | -1.299993 | -7.391001e-09 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 | 0.00000000 | 19 | 2.745821e-03 | chr10 |  52559168 |  52645435 | 3.333333e-01 |\n| A2M      | 52476 | 9495 | 14807.0000000 |  1.603308 | 0.552001911 |  1.089459 |  1.602609e-04 | 1.0000000 | 27568 | ⋯ | 35048 | 183 | 193 | 0.00287802 | 36 | 3.760091e+02 | chr12 |   9220303 |   9268558 | 3.935000e+04 |\n| A2M-AS1  |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |  15 |  15 | 1.00000000 |  0 | 1.363230e-01 | chr12 |   9217772 |   9220651 | 0.000000e+00 |\n| A2ML1    |     2 |    1 |     0.0000000 | -1.000000 | 1.000000000 | -1.335160 | -2.021694e-08 | 1.0000000 |     2 | ⋯ |     1 |   8 |   8 | 0.88888889 | 38 | 4.800905e-03 | chr12 |   8975149 |   9029381 | 1.000000e+00 |\n| A2MP1    |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 |         NA |  0 | 0.000000e+00 | chr12 |   9381128 |   9386803 | 0.000000e+00 |\n| A3GALT2  |     1 |    0 |    -0.3333333 |        NA | 1.000000000 | -4.188553 | -2.429740e-08 | 1.0000000 |     1 | ⋯ |     0 |   8 |   8 | 1.00000000 |  5 | 0.000000e+00 | chr1  |  33772366 |  33786699 | 0.000000e+00 |\n| A4GALT   |   374 |   32 |   127.6666667 |  5.848101 | 0.021492044 |  5.019092 |  7.516690e-06 | 0.4075383 |    64 | ⋯ |     0 |   7 |   7 | 0.14583333 | 11 | 3.526503e-01 | chr22 |  43088122 |  43117307 | 1.540000e+02 |\n| A4GNT    |     9 |    5 |    -0.6666667 | -1.142857 | 0.381754318 | -1.597118 | -1.488439e-07 | 1.0000000 |     5 | ⋯ |     0 |   0 |   0 | 0.00000000 |  3 | 1.034187e-01 | chr3  | 137842559 | 137851229 | 4.666667e+00 |\n| AA06     |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 |         NA |  0 | 0.000000e+00 | chr17 |  31856805 |  31860779 | 0.000000e+00 |\n| AAAS     |   507 |   77 |   112.3333333 |  1.355111 | 0.765357655 | -1.045537 | -1.007185e-06 | 1.0000000 |   340 | ⋯ |   463 |  57 |  57 | 0.07569721 | 16 | 9.913333e+00 | chr12 |  53701239 |  53715412 | 4.286667e+02 |\n| AACP     |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 |         NA |  0 | 0.000000e+00 | chr8  |  18227418 |  18229387 | 0.000000e+00 |\n| AACS     |   527 |   23 |   141.0000000 |  1.577869 | 0.658118860 |  1.074046 |  1.322903e-06 | 1.0000000 |   245 | ⋯ |   251 |  79 |  79 | 0.10381078 | 20 | 5.360314e+00 | chr12 | 125549924 | 125627879 | 3.850000e+02 |\n| AACSP1   |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 |         NA |  0 | 0.000000e+00 | chr5  | 178191861 | 178203277 | 0.000000e+00 |\n| AADAC    |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 |         NA |  9 | 0.000000e+00 | chr3  | 151531768 | 151546276 | 0.000000e+00 |\n| AADACL2  |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 |         NA |  5 | 0.000000e+00 | chr3  | 151451703 | 151475556 | 0.000000e+00 |\n| AADACL3  |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 |         NA |  4 | 0.000000e+00 | chr1  |  12776117 |  12788726 | 0.000000e+00 |\n| AADACL4  |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 |         NA |  4 | 0.000000e+00 | chr1  |  12704565 |  12727097 | 0.000000e+00 |\n| AADAT    |     0 |    0 |     0.0000000 |  1.000000 | 1.000000000 |  1.000000 |  0.000000e+00 | 1.0000000 |     0 | ⋯ |     0 |   0 |   0 |         NA | 19 | 0.000000e+00 | chr4  | 170981372 | 171012823 | 0.000000e+00 |\n| AAED1    |   411 |   21 |   181.6666667 |  2.189956 | 0.004554695 |  1.557962 |  6.221079e-06 | 0.1252462 |   173 | ⋯ |   213 |  19 |  19 | 0.03417266 |  9 | 8.500041e+00 | chr9  |  99403108 |  99417603 | 3.343333e+02 |\n| AAGAB    |   746 |   55 |    79.0000000 |  1.172489 | 0.125836185 | -1.253411 | -6.775394e-06 | 1.0000000 |   470 | ⋯ |   383 |  58 |  59 | 0.05684008 | 15 | 7.299934e+00 | chr15 |  67493012 |  67547536 | 5.370000e+02 |\n| AAK1     |  1007 |  110 |   213.6666667 |  1.302930 | 0.625300717 | -1.067100 | -3.245629e-06 | 1.0000000 |   720 | ⋯ |   220 | 180 | 180 | 0.10968921 | 27 | 1.752727e+00 | chr2  |  69685126 |  69901566 | 9.190000e+02 |\n| AAMDC    |   104 |   15 |    15.3333333 |  1.270588 | 0.443252911 | -1.162317 | -5.786259e-07 | 1.0000000 |    65 | ⋯ |    67 |  15 |  17 | 0.11971831 |  6 | 5.388166e+00 | chr11 |  77532146 |  77583398 | 7.200000e+01 |\n| AAMP     |  1583 |  320 |   403.0000000 |  1.295599 | 0.823187782 | -1.031054 | -3.006928e-06 | 1.0000000 |  1342 | ⋯ |  1321 |  43 |  43 | 0.01644989 | 13 | 3.745548e+01 | chr2  | 219128851 | 219134893 | 1.766333e+03 |\n| AANAT    |    25 |    5 |    10.0000000 |  1.769231 | 0.380847121 |  1.286079 |  2.744140e-07 | 1.0000000 |    12 | ⋯ |     1 |  68 |  68 | 0.66019417 |  8 | 4.375407e-01 | chr17 |  74449432 |  74466199 | 2.300000e+01 |\n| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋱ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n| ZSCAN4     |     1 |    0 |    0.3333333 |        NA | 1.000000e+00 |  3.227369 |  1.697299e-08 | 1.000000000 |     0 | ⋯ |    1 |   2 |   2 | 0.66666667 |  5 | 1.164957e-02 | chr19 |  58180302 |  58190520 | 3.333333e-01 |\n| ZSCAN5A    |   136 |    4 |   -1.3333333 | -1.010724 | 5.041983e-02 | -1.398087 | -2.609459e-06 | 0.742359524 |   153 | ⋯ |   47 |  34 |  62 | 0.23664122 | 11 | 2.132431e+00 | chr19 |  56732671 |  56826208 | 1.243333e+02 |\n| ZSCAN5B    |     5 |    1 |    2.0000000 |  7.000000 | 2.428649e-01 |  3.905143 |  9.278139e-08 | 1.000000000 |     1 | ⋯ |    3 |   0 |   0 | 0.00000000 |  6 | 7.549028e-02 | chr19 |  56701057 |  56709207 | 2.333333e+00 |\n| ZSCAN5C    |     0 |    0 |    0.0000000 |  1.000000 | 1.000000e+00 |  1.000000 |  0.000000e+00 | 1.000000000 |     0 | ⋯ |    0 |   1 |   1 | 1.00000000 |  0 | 7.129409e-03 | chr19 |  56717153 |  56720823 | 0.000000e+00 |\n| ZSCAN9     |    81 |    5 |   15.6666667 |  1.367188 | 9.395131e-01 | -1.029038 | -8.874856e-08 | 1.000000000 |    33 | ⋯ |   16 | 109 | 110 | 0.50228311 |  8 | 1.553365e+00 | chr6  |  28193028 |  28201265 | 5.833333e+01 |\n| ZSWIM1     |   100 |   14 |   15.0000000 |  1.171756 | 3.986060e-01 | -1.162510 | -8.930765e-07 | 1.000000000 |    95 | ⋯ |    0 |   3 |   3 | 0.01875000 |  5 | 1.286934e+00 | chr20 |  44509580 |  44513905 | 1.023333e+02 |\n| ZSWIM2     |     0 |    0 |    0.0000000 |  1.000000 | 1.000000e+00 |  1.000000 |  0.000000e+00 | 1.000000000 |     0 | ⋯ |    0 |   0 |   0 |         NA |  9 | 0.000000e+00 | chr2  | 187692206 | 187713897 | 0.000000e+00 |\n| ZSWIM3     |    64 |    4 |   -2.6666667 | -1.060606 | 4.770016e-02 | -1.558051 | -1.221944e-06 | 0.715040211 |    55 | ⋯ |    0 |   1 |   1 | 0.01315789 |  2 | 6.963697e-01 | chr20 |  44486219 |  44507770 | 4.400000e+01 |\n| ZSWIM4     |   237 |   25 |  113.0000000 |  2.533937 | 9.518849e-04 |  1.864933 |  4.644613e-06 | 0.034305896 |    94 | ⋯ |   47 |  14 |  14 | 0.04635762 | 16 | 1.593129e+00 | chr19 |  13906257 |  13943068 | 1.866667e+02 |\n| ZSWIM5     |     1 |    0 |    0.6666667 |        NA | 5.100747e-01 |  5.801828 |  3.659087e-08 | 1.000000000 |     0 | ⋯ |    0 |   5 |   7 | 1.00000000 | 19 | 0.000000e+00 | chr1  |  45482070 |  45672250 | 6.666667e-01 |\n| ZSWIM5P1   |     0 |    0 |    0.0000000 |  1.000000 | 1.000000e+00 |  1.000000 |  0.000000e+00 | 1.000000000 |     0 | ⋯ |    0 |   0 |   0 |         NA |  0 | 0.000000e+00 | chr17 |  15672033 |  15674739 | 0.000000e+00 |\n| ZSWIM5P2   |     0 |    0 |    0.0000000 |  1.000000 | 1.000000e+00 |  1.000000 |  0.000000e+00 | 1.000000000 |     0 | ⋯ |    0 |   0 |   0 |         NA |  0 | 0.000000e+00 | chr17 |  20487070 |  20489771 | 0.000000e+00 |\n| ZSWIM5P3   |     0 |    0 |    0.0000000 |  1.000000 | 1.000000e+00 |  1.000000 |  0.000000e+00 | 1.000000000 |     0 | ⋯ |    0 |   0 |   0 |         NA |  0 | 0.000000e+00 | chr4  | 130057086 | 130060895 | 0.000000e+00 |\n| ZSWIM6     |  1009 |   32 |  496.0000000 |  2.084548 | 2.555861e-03 |  1.561909 |  1.876166e-05 | 0.077358172 |   511 | ⋯ |  331 | 166 | 352 | 0.20335066 | 14 | 6.556686e+00 | chr5  |  60628099 |  60841999 | 9.533333e+02 |\n| ZSWIM7     |   212 |   30 |   36.3333333 |  1.314121 | 5.119833e-01 | -1.117301 | -8.865319e-07 | 1.000000000 |   135 | ⋯ |   56 |  41 |  43 | 0.13870968 |  7 | 3.479102e+00 | chr17 |  15879873 |  15903006 | 1.520000e+02 |\n| ZSWIM8     |  1124 |  164 |  400.3333333 |  1.516115 | 3.942231e-01 |  1.121019 |  6.858322e-06 | 1.000000000 |   840 | ⋯ |  623 |  58 | 116 | 0.06260119 | 34 | 7.437160e+00 | chr10 |  75545333 |  75561556 | 1.176000e+03 |\n| ZSWIM8-AS1 |     0 |    0 |    0.0000000 |  1.000000 | 1.000000e+00 |  1.000000 |  0.000000e+00 | 1.000000000 |     0 | ⋯ |    0 |   0 |   0 |         NA |  0 | 0.000000e+00 | chr10 |  75556271 |  75561157 | 0.000000e+00 |\n| ZUFSP      |   191 |   18 |   18.3333333 |  1.144357 | 1.570314e-01 | -1.261548 | -1.925632e-06 | 1.000000000 |   137 | ⋯ |   93 |  21 |  22 | 0.08029197 | 10 | 2.982163e+00 | chr6  | 116956780 | 116989973 | 1.453333e+02 |\n| ZW10       |   302 |   24 |   17.0000000 |  1.069293 | 6.372752e-02 | -1.310502 | -4.252049e-06 | 0.862451597 |   257 | ⋯ |  192 |  12 |  13 | 0.02914798 | 16 | 3.843085e+00 | chr11 | 113603904 | 113644485 | 2.623333e+02 |\n| ZWILCH     |   224 |   36 |   61.3333333 |  1.419134 | 9.224332e-01 |  1.019555 |  2.088810e-07 | 1.000000000 |   170 | ⋯ |  168 |   8 |  13 | 0.04000000 | 19 | 2.564706e+00 | chr15 |  66797430 |  66841823 | 2.076667e+02 |\n| ZWINT      |   596 |  209 |   97.6666667 |  1.353865 | 5.600961e-01 | -1.163499 | -2.836065e-06 | 1.000000000 |   296 | ⋯ |  255 |  11 |  11 | 0.01605839 | 14 | 8.548310e+00 | chr10 |  58117015 |  58121063 | 3.736667e+02 |\n| ZXDA       |    82 |   12 |   47.3333333 |  3.679245 | 2.058773e-05 |  2.651312 |  2.142344e-06 | 0.001187385 |    21 | ⋯ |    0 |   0 |   0 | 0.00000000 |  1 | 4.877015e-01 | chr23 |  57931863 |  57937067 | 6.500000e+01 |\n| ZXDB       |   196 |   18 |   87.6666667 |  2.308458 | 3.918561e-03 |  1.662093 |  3.250491e-06 | 0.110825732 |    68 | ⋯ |    0 |   0 |   0 | 0.00000000 |  1 | 1.196482e+00 | chr23 |  57618268 |  57623910 | 1.546667e+02 |\n| ZXDC       |   412 |   96 |  100.6666667 |  1.270125 | 7.770913e-01 | -1.046298 | -1.203377e-06 | 1.000000000 |   426 | ⋯ |   82 | 100 | 100 | 0.12903226 | 14 | 1.118726e+00 | chr3  | 126156443 | 126194773 | 4.733333e+02 |\n| ZYG11A     |     1 |    0 |    0.0000000 | -1.000000 | 1.000000e+00 | -1.235882 | -6.093308e-09 | 1.000000000 |     1 | ⋯ |    0 |   2 |   2 | 1.00000000 | 14 | 0.000000e+00 | chr1  |  53308182 |  53360247 | 3.333333e-01 |\n| ZYG11AP1   |     0 |    0 |    0.0000000 |  1.000000 | 1.000000e+00 |  1.000000 |  0.000000e+00 | 1.000000000 |     0 | ⋯ |    0 |   0 |   0 |         NA |  0 | 0.000000e+00 | chr9  | 105373385 | 105374251 | 0.000000e+00 |\n| ZYG11B     |   320 |   94 |  -65.3333333 | -1.223235 | 4.769794e-04 | -1.688513 | -1.064585e-05 | 0.019234290 |   420 | ⋯ |   79 |  34 |  42 | 0.08123791 | 15 | 1.525324e+00 | chr1  |  53192125 |  53293014 | 2.926667e+02 |\n| ZYX        | 21595 | 3350 | 6001.6666667 |  1.341631 | 9.773032e-01 |  1.003588 |  4.623899e-06 | 1.000000000 | 16038 | ⋯ | 9820 | 492 | 521 | 0.01452548 | 12 | 3.972731e+02 | chr7  | 143078337 | 143088204 | 2.356933e+04 |\n| ZZEF1      |  1816 |   24 |  385.0000000 |  1.268542 | 5.697098e-01 | -1.072695 | -7.111185e-06 | 1.000000000 |  1446 | ⋯ | 1025 | 143 | 144 | 0.04896294 | 61 | 6.097085e+00 | chr17 |   3907738 |   4046314 | 1.818667e+03 |\n| ZZZ3       |   456 |  181 |  -98.0000000 | -1.265583 | 5.970000e-05 | -1.804698 | -1.522793e-05 | 0.003080489 |   492 | ⋯ |  165 |  90 |  90 | 0.12569832 | 21 | 2.509845e+00 | chr1  |  78028159 |  78149119 | 3.690000e+02 |\n\n",
            "text/latex": "A tibble: 39680 × 125\n\\begin{tabular}{lllllllllllllllllllll}\n Feature ID & Experiment - Range (original values) & Experiment - IQR (original values) & Experiment - Difference (original values) & Experiment - Fold Change (original values) & EDGE test: WT Ctrl vs WT Af\\_2h, tagwise dispersions - P-value & EDGE test: WT Ctrl vs WT Af\\_2h, tagwise dispersions - Fold change & EDGE test: WT Ctrl vs WT Af\\_2h, tagwise dispersions - Weighted difference & EDGE test: WT Ctrl vs WT Af\\_2h, tagwise dispersions - FDR p-value correction & WT Ctrl - 17014-0001\\_S1\\_(GE) - Expression values & ⋯ & WT Af\\_2h - 17014-0009\\_S9\\_(GE) - Total exon-exon reads & WT Af\\_2h - 17014-0009\\_S9\\_(GE) - Unique intron reads & WT Af\\_2h - 17014-0009\\_S9\\_(GE) - Total intron reads & WT Af\\_2h - 17014-0009\\_S9\\_(GE) - Ratio of intron to total gene reads & WT Af\\_2h - 17014-0009\\_S9\\_(GE) - Exons & WT Af\\_2h - 17014-0009\\_S9\\_(GE) - RPKM & WT Af\\_2h - 17014-0009\\_S9\\_(GE) - Chromosome & WT Af\\_2h - 17014-0009\\_S9\\_(GE) - Chromosome region start & WT Af\\_2h - 17014-0009\\_S9\\_(GE) - Chromosome region end & WT Af\\_2h - Means\\\\\n <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & ⋯ & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <chr> & <dbl> & <dbl> & <dbl>\\\\\n\\hline\n\t 3.8-1.3  &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 &         NA &  0 & 0.000000e+00 & chr6  &  29878011 &  29879177 & 0.000000e+00\\\\\n\t 3.8-1.4  &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 &         NA &  0 & 0.000000e+00 & chr6  &  29833691 &  29834864 & 0.000000e+00\\\\\n\t 3.8-1.5  &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 &         NA &  0 & 0.000000e+00 & chr6  &  29732892 &  29734073 & 0.000000e+00\\\\\n\t 5-HT3C2  &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 &         NA &  0 & 0.000000e+00 & chr3  & 183794433 & 183802119 & 0.000000e+00\\\\\n\t A1BG     &   120 &   29 &    29.6666667 &  1.390351 & 0.965931109 & -1.010500 & -5.785314e-08 & 1.0000000 &    77 & ⋯ &    31 &  74 & 103 & 0.38289963 & 11 & 2.343971e+00 & chr19 &  58858171 &  58864865 & 1.056667e+02\\\\\n\t A1BG-AS1 &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &  75 & 154 & 1.00000000 &  0 & 1.253702e+00 & chr19 &  58863335 &  58866549 & 0.000000e+00\\\\\n\t A1CF     &     1 &    0 &     0.0000000 & -1.000000 & 1.000000000 & -1.299993 & -7.391001e-09 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 & 0.00000000 & 19 & 2.745821e-03 & chr10 &  52559168 &  52645435 & 3.333333e-01\\\\\n\t A2M      & 52476 & 9495 & 14807.0000000 &  1.603308 & 0.552001911 &  1.089459 &  1.602609e-04 & 1.0000000 & 27568 & ⋯ & 35048 & 183 & 193 & 0.00287802 & 36 & 3.760091e+02 & chr12 &   9220303 &   9268558 & 3.935000e+04\\\\\n\t A2M-AS1  &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &  15 &  15 & 1.00000000 &  0 & 1.363230e-01 & chr12 &   9217772 &   9220651 & 0.000000e+00\\\\\n\t A2ML1    &     2 &    1 &     0.0000000 & -1.000000 & 1.000000000 & -1.335160 & -2.021694e-08 & 1.0000000 &     2 & ⋯ &     1 &   8 &   8 & 0.88888889 & 38 & 4.800905e-03 & chr12 &   8975149 &   9029381 & 1.000000e+00\\\\\n\t A2MP1    &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 &         NA &  0 & 0.000000e+00 & chr12 &   9381128 &   9386803 & 0.000000e+00\\\\\n\t A3GALT2  &     1 &    0 &    -0.3333333 &        NA & 1.000000000 & -4.188553 & -2.429740e-08 & 1.0000000 &     1 & ⋯ &     0 &   8 &   8 & 1.00000000 &  5 & 0.000000e+00 & chr1  &  33772366 &  33786699 & 0.000000e+00\\\\\n\t A4GALT   &   374 &   32 &   127.6666667 &  5.848101 & 0.021492044 &  5.019092 &  7.516690e-06 & 0.4075383 &    64 & ⋯ &     0 &   7 &   7 & 0.14583333 & 11 & 3.526503e-01 & chr22 &  43088122 &  43117307 & 1.540000e+02\\\\\n\t A4GNT    &     9 &    5 &    -0.6666667 & -1.142857 & 0.381754318 & -1.597118 & -1.488439e-07 & 1.0000000 &     5 & ⋯ &     0 &   0 &   0 & 0.00000000 &  3 & 1.034187e-01 & chr3  & 137842559 & 137851229 & 4.666667e+00\\\\\n\t AA06     &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 &         NA &  0 & 0.000000e+00 & chr17 &  31856805 &  31860779 & 0.000000e+00\\\\\n\t AAAS     &   507 &   77 &   112.3333333 &  1.355111 & 0.765357655 & -1.045537 & -1.007185e-06 & 1.0000000 &   340 & ⋯ &   463 &  57 &  57 & 0.07569721 & 16 & 9.913333e+00 & chr12 &  53701239 &  53715412 & 4.286667e+02\\\\\n\t AACP     &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 &         NA &  0 & 0.000000e+00 & chr8  &  18227418 &  18229387 & 0.000000e+00\\\\\n\t AACS     &   527 &   23 &   141.0000000 &  1.577869 & 0.658118860 &  1.074046 &  1.322903e-06 & 1.0000000 &   245 & ⋯ &   251 &  79 &  79 & 0.10381078 & 20 & 5.360314e+00 & chr12 & 125549924 & 125627879 & 3.850000e+02\\\\\n\t AACSP1   &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 &         NA &  0 & 0.000000e+00 & chr5  & 178191861 & 178203277 & 0.000000e+00\\\\\n\t AADAC    &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 &         NA &  9 & 0.000000e+00 & chr3  & 151531768 & 151546276 & 0.000000e+00\\\\\n\t AADACL2  &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 &         NA &  5 & 0.000000e+00 & chr3  & 151451703 & 151475556 & 0.000000e+00\\\\\n\t AADACL3  &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 &         NA &  4 & 0.000000e+00 & chr1  &  12776117 &  12788726 & 0.000000e+00\\\\\n\t AADACL4  &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 &         NA &  4 & 0.000000e+00 & chr1  &  12704565 &  12727097 & 0.000000e+00\\\\\n\t AADAT    &     0 &    0 &     0.0000000 &  1.000000 & 1.000000000 &  1.000000 &  0.000000e+00 & 1.0000000 &     0 & ⋯ &     0 &   0 &   0 &         NA & 19 & 0.000000e+00 & chr4  & 170981372 & 171012823 & 0.000000e+00\\\\\n\t AAED1    &   411 &   21 &   181.6666667 &  2.189956 & 0.004554695 &  1.557962 &  6.221079e-06 & 0.1252462 &   173 & ⋯ &   213 &  19 &  19 & 0.03417266 &  9 & 8.500041e+00 & chr9  &  99403108 &  99417603 & 3.343333e+02\\\\\n\t AAGAB    &   746 &   55 &    79.0000000 &  1.172489 & 0.125836185 & -1.253411 & -6.775394e-06 & 1.0000000 &   470 & ⋯ &   383 &  58 &  59 & 0.05684008 & 15 & 7.299934e+00 & chr15 &  67493012 &  67547536 & 5.370000e+02\\\\\n\t AAK1     &  1007 &  110 &   213.6666667 &  1.302930 & 0.625300717 & -1.067100 & -3.245629e-06 & 1.0000000 &   720 & ⋯ &   220 & 180 & 180 & 0.10968921 & 27 & 1.752727e+00 & chr2  &  69685126 &  69901566 & 9.190000e+02\\\\\n\t AAMDC    &   104 &   15 &    15.3333333 &  1.270588 & 0.443252911 & -1.162317 & -5.786259e-07 & 1.0000000 &    65 & ⋯ &    67 &  15 &  17 & 0.11971831 &  6 & 5.388166e+00 & chr11 &  77532146 &  77583398 & 7.200000e+01\\\\\n\t AAMP     &  1583 &  320 &   403.0000000 &  1.295599 & 0.823187782 & -1.031054 & -3.006928e-06 & 1.0000000 &  1342 & ⋯ &  1321 &  43 &  43 & 0.01644989 & 13 & 3.745548e+01 & chr2  & 219128851 & 219134893 & 1.766333e+03\\\\\n\t AANAT    &    25 &    5 &    10.0000000 &  1.769231 & 0.380847121 &  1.286079 &  2.744140e-07 & 1.0000000 &    12 & ⋯ &     1 &  68 &  68 & 0.66019417 &  8 & 4.375407e-01 & chr17 &  74449432 &  74466199 & 2.300000e+01\\\\\n\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋱ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n\t ZSCAN4     &     1 &    0 &    0.3333333 &        NA & 1.000000e+00 &  3.227369 &  1.697299e-08 & 1.000000000 &     0 & ⋯ &    1 &   2 &   2 & 0.66666667 &  5 & 1.164957e-02 & chr19 &  58180302 &  58190520 & 3.333333e-01\\\\\n\t ZSCAN5A    &   136 &    4 &   -1.3333333 & -1.010724 & 5.041983e-02 & -1.398087 & -2.609459e-06 & 0.742359524 &   153 & ⋯ &   47 &  34 &  62 & 0.23664122 & 11 & 2.132431e+00 & chr19 &  56732671 &  56826208 & 1.243333e+02\\\\\n\t ZSCAN5B    &     5 &    1 &    2.0000000 &  7.000000 & 2.428649e-01 &  3.905143 &  9.278139e-08 & 1.000000000 &     1 & ⋯ &    3 &   0 &   0 & 0.00000000 &  6 & 7.549028e-02 & chr19 &  56701057 &  56709207 & 2.333333e+00\\\\\n\t ZSCAN5C    &     0 &    0 &    0.0000000 &  1.000000 & 1.000000e+00 &  1.000000 &  0.000000e+00 & 1.000000000 &     0 & ⋯ &    0 &   1 &   1 & 1.00000000 &  0 & 7.129409e-03 & chr19 &  56717153 &  56720823 & 0.000000e+00\\\\\n\t ZSCAN9     &    81 &    5 &   15.6666667 &  1.367188 & 9.395131e-01 & -1.029038 & -8.874856e-08 & 1.000000000 &    33 & ⋯ &   16 & 109 & 110 & 0.50228311 &  8 & 1.553365e+00 & chr6  &  28193028 &  28201265 & 5.833333e+01\\\\\n\t ZSWIM1     &   100 &   14 &   15.0000000 &  1.171756 & 3.986060e-01 & -1.162510 & -8.930765e-07 & 1.000000000 &    95 & ⋯ &    0 &   3 &   3 & 0.01875000 &  5 & 1.286934e+00 & chr20 &  44509580 &  44513905 & 1.023333e+02\\\\\n\t ZSWIM2     &     0 &    0 &    0.0000000 &  1.000000 & 1.000000e+00 &  1.000000 &  0.000000e+00 & 1.000000000 &     0 & ⋯ &    0 &   0 &   0 &         NA &  9 & 0.000000e+00 & chr2  & 187692206 & 187713897 & 0.000000e+00\\\\\n\t ZSWIM3     &    64 &    4 &   -2.6666667 & -1.060606 & 4.770016e-02 & -1.558051 & -1.221944e-06 & 0.715040211 &    55 & ⋯ &    0 &   1 &   1 & 0.01315789 &  2 & 6.963697e-01 & chr20 &  44486219 &  44507770 & 4.400000e+01\\\\\n\t ZSWIM4     &   237 &   25 &  113.0000000 &  2.533937 & 9.518849e-04 &  1.864933 &  4.644613e-06 & 0.034305896 &    94 & ⋯ &   47 &  14 &  14 & 0.04635762 & 16 & 1.593129e+00 & chr19 &  13906257 &  13943068 & 1.866667e+02\\\\\n\t ZSWIM5     &     1 &    0 &    0.6666667 &        NA & 5.100747e-01 &  5.801828 &  3.659087e-08 & 1.000000000 &     0 & ⋯ &    0 &   5 &   7 & 1.00000000 & 19 & 0.000000e+00 & chr1  &  45482070 &  45672250 & 6.666667e-01\\\\\n\t ZSWIM5P1   &     0 &    0 &    0.0000000 &  1.000000 & 1.000000e+00 &  1.000000 &  0.000000e+00 & 1.000000000 &     0 & ⋯ &    0 &   0 &   0 &         NA &  0 & 0.000000e+00 & chr17 &  15672033 &  15674739 & 0.000000e+00\\\\\n\t ZSWIM5P2   &     0 &    0 &    0.0000000 &  1.000000 & 1.000000e+00 &  1.000000 &  0.000000e+00 & 1.000000000 &     0 & ⋯ &    0 &   0 &   0 &         NA &  0 & 0.000000e+00 & chr17 &  20487070 &  20489771 & 0.000000e+00\\\\\n\t ZSWIM5P3   &     0 &    0 &    0.0000000 &  1.000000 & 1.000000e+00 &  1.000000 &  0.000000e+00 & 1.000000000 &     0 & ⋯ &    0 &   0 &   0 &         NA &  0 & 0.000000e+00 & chr4  & 130057086 & 130060895 & 0.000000e+00\\\\\n\t ZSWIM6     &  1009 &   32 &  496.0000000 &  2.084548 & 2.555861e-03 &  1.561909 &  1.876166e-05 & 0.077358172 &   511 & ⋯ &  331 & 166 & 352 & 0.20335066 & 14 & 6.556686e+00 & chr5  &  60628099 &  60841999 & 9.533333e+02\\\\\n\t ZSWIM7     &   212 &   30 &   36.3333333 &  1.314121 & 5.119833e-01 & -1.117301 & -8.865319e-07 & 1.000000000 &   135 & ⋯ &   56 &  41 &  43 & 0.13870968 &  7 & 3.479102e+00 & chr17 &  15879873 &  15903006 & 1.520000e+02\\\\\n\t ZSWIM8     &  1124 &  164 &  400.3333333 &  1.516115 & 3.942231e-01 &  1.121019 &  6.858322e-06 & 1.000000000 &   840 & ⋯ &  623 &  58 & 116 & 0.06260119 & 34 & 7.437160e+00 & chr10 &  75545333 &  75561556 & 1.176000e+03\\\\\n\t ZSWIM8-AS1 &     0 &    0 &    0.0000000 &  1.000000 & 1.000000e+00 &  1.000000 &  0.000000e+00 & 1.000000000 &     0 & ⋯ &    0 &   0 &   0 &         NA &  0 & 0.000000e+00 & chr10 &  75556271 &  75561157 & 0.000000e+00\\\\\n\t ZUFSP      &   191 &   18 &   18.3333333 &  1.144357 & 1.570314e-01 & -1.261548 & -1.925632e-06 & 1.000000000 &   137 & ⋯ &   93 &  21 &  22 & 0.08029197 & 10 & 2.982163e+00 & chr6  & 116956780 & 116989973 & 1.453333e+02\\\\\n\t ZW10       &   302 &   24 &   17.0000000 &  1.069293 & 6.372752e-02 & -1.310502 & -4.252049e-06 & 0.862451597 &   257 & ⋯ &  192 &  12 &  13 & 0.02914798 & 16 & 3.843085e+00 & chr11 & 113603904 & 113644485 & 2.623333e+02\\\\\n\t ZWILCH     &   224 &   36 &   61.3333333 &  1.419134 & 9.224332e-01 &  1.019555 &  2.088810e-07 & 1.000000000 &   170 & ⋯ &  168 &   8 &  13 & 0.04000000 & 19 & 2.564706e+00 & chr15 &  66797430 &  66841823 & 2.076667e+02\\\\\n\t ZWINT      &   596 &  209 &   97.6666667 &  1.353865 & 5.600961e-01 & -1.163499 & -2.836065e-06 & 1.000000000 &   296 & ⋯ &  255 &  11 &  11 & 0.01605839 & 14 & 8.548310e+00 & chr10 &  58117015 &  58121063 & 3.736667e+02\\\\\n\t ZXDA       &    82 &   12 &   47.3333333 &  3.679245 & 2.058773e-05 &  2.651312 &  2.142344e-06 & 0.001187385 &    21 & ⋯ &    0 &   0 &   0 & 0.00000000 &  1 & 4.877015e-01 & chr23 &  57931863 &  57937067 & 6.500000e+01\\\\\n\t ZXDB       &   196 &   18 &   87.6666667 &  2.308458 & 3.918561e-03 &  1.662093 &  3.250491e-06 & 0.110825732 &    68 & ⋯ &    0 &   0 &   0 & 0.00000000 &  1 & 1.196482e+00 & chr23 &  57618268 &  57623910 & 1.546667e+02\\\\\n\t ZXDC       &   412 &   96 &  100.6666667 &  1.270125 & 7.770913e-01 & -1.046298 & -1.203377e-06 & 1.000000000 &   426 & ⋯ &   82 & 100 & 100 & 0.12903226 & 14 & 1.118726e+00 & chr3  & 126156443 & 126194773 & 4.733333e+02\\\\\n\t ZYG11A     &     1 &    0 &    0.0000000 & -1.000000 & 1.000000e+00 & -1.235882 & -6.093308e-09 & 1.000000000 &     1 & ⋯ &    0 &   2 &   2 & 1.00000000 & 14 & 0.000000e+00 & chr1  &  53308182 &  53360247 & 3.333333e-01\\\\\n\t ZYG11AP1   &     0 &    0 &    0.0000000 &  1.000000 & 1.000000e+00 &  1.000000 &  0.000000e+00 & 1.000000000 &     0 & ⋯ &    0 &   0 &   0 &         NA &  0 & 0.000000e+00 & chr9  & 105373385 & 105374251 & 0.000000e+00\\\\\n\t ZYG11B     &   320 &   94 &  -65.3333333 & -1.223235 & 4.769794e-04 & -1.688513 & -1.064585e-05 & 0.019234290 &   420 & ⋯ &   79 &  34 &  42 & 0.08123791 & 15 & 1.525324e+00 & chr1  &  53192125 &  53293014 & 2.926667e+02\\\\\n\t ZYX        & 21595 & 3350 & 6001.6666667 &  1.341631 & 9.773032e-01 &  1.003588 &  4.623899e-06 & 1.000000000 & 16038 & ⋯ & 9820 & 492 & 521 & 0.01452548 & 12 & 3.972731e+02 & chr7  & 143078337 & 143088204 & 2.356933e+04\\\\\n\t ZZEF1      &  1816 &   24 &  385.0000000 &  1.268542 & 5.697098e-01 & -1.072695 & -7.111185e-06 & 1.000000000 &  1446 & ⋯ & 1025 & 143 & 144 & 0.04896294 & 61 & 6.097085e+00 & chr17 &   3907738 &   4046314 & 1.818667e+03\\\\\n\t ZZZ3       &   456 &  181 &  -98.0000000 & -1.265583 & 5.970000e-05 & -1.804698 & -1.522793e-05 & 0.003080489 &   492 & ⋯ &  165 &  90 &  90 & 0.12569832 & 21 & 2.509845e+00 & chr1  &  78028159 &  78149119 & 3.690000e+02\\\\\n\\end{tabular}\n",
            "text/plain": [
              "      Feature ID Experiment - Range (original values)\n",
              "1     3.8-1.3        0                               \n",
              "2     3.8-1.4        0                               \n",
              "3     3.8-1.5        0                               \n",
              "4     5-HT3C2        0                               \n",
              "5     A1BG         120                               \n",
              "6     A1BG-AS1       0                               \n",
              "7     A1CF           1                               \n",
              "8     A2M        52476                               \n",
              "9     A2M-AS1        0                               \n",
              "10    A2ML1          2                               \n",
              "11    A2MP1          0                               \n",
              "12    A3GALT2        1                               \n",
              "13    A4GALT       374                               \n",
              "14    A4GNT          9                               \n",
              "15    AA06           0                               \n",
              "16    AAAS         507                               \n",
              "17    AACP           0                               \n",
              "18    AACS         527                               \n",
              "19    AACSP1         0                               \n",
              "20    AADAC          0                               \n",
              "21    AADACL2        0                               \n",
              "22    AADACL3        0                               \n",
              "23    AADACL4        0                               \n",
              "24    AADAT          0                               \n",
              "25    AAED1        411                               \n",
              "26    AAGAB        746                               \n",
              "27    AAK1        1007                               \n",
              "28    AAMDC        104                               \n",
              "29    AAMP        1583                               \n",
              "30    AANAT         25                               \n",
              "⋮     ⋮          ⋮                                   \n",
              "39651 ZSCAN4         1                               \n",
              "39652 ZSCAN5A      136                               \n",
              "39653 ZSCAN5B        5                               \n",
              "39654 ZSCAN5C        0                               \n",
              "39655 ZSCAN9        81                               \n",
              "39656 ZSWIM1       100                               \n",
              "39657 ZSWIM2         0                               \n",
              "39658 ZSWIM3        64                               \n",
              "39659 ZSWIM4       237                               \n",
              "39660 ZSWIM5         1                               \n",
              "39661 ZSWIM5P1       0                               \n",
              "39662 ZSWIM5P2       0                               \n",
              "39663 ZSWIM5P3       0                               \n",
              "39664 ZSWIM6      1009                               \n",
              "39665 ZSWIM7       212                               \n",
              "39666 ZSWIM8      1124                               \n",
              "39667 ZSWIM8-AS1     0                               \n",
              "39668 ZUFSP        191                               \n",
              "39669 ZW10         302                               \n",
              "39670 ZWILCH       224                               \n",
              "39671 ZWINT        596                               \n",
              "39672 ZXDA          82                               \n",
              "39673 ZXDB         196                               \n",
              "39674 ZXDC         412                               \n",
              "39675 ZYG11A         1                               \n",
              "39676 ZYG11AP1       0                               \n",
              "39677 ZYG11B       320                               \n",
              "39678 ZYX        21595                               \n",
              "39679 ZZEF1       1816                               \n",
              "39680 ZZZ3         456                               \n",
              "      Experiment - IQR (original values)\n",
              "1        0                              \n",
              "2        0                              \n",
              "3        0                              \n",
              "4        0                              \n",
              "5       29                              \n",
              "6        0                              \n",
              "7        0                              \n",
              "8     9495                              \n",
              "9        0                              \n",
              "10       1                              \n",
              "11       0                              \n",
              "12       0                              \n",
              "13      32                              \n",
              "14       5                              \n",
              "15       0                              \n",
              "16      77                              \n",
              "17       0                              \n",
              "18      23                              \n",
              "19       0                              \n",
              "20       0                              \n",
              "21       0                              \n",
              "22       0                              \n",
              "23       0                              \n",
              "24       0                              \n",
              "25      21                              \n",
              "26      55                              \n",
              "27     110                              \n",
              "28      15                              \n",
              "29     320                              \n",
              "30       5                              \n",
              "⋮     ⋮                                 \n",
              "39651    0                              \n",
              "39652    4                              \n",
              "39653    1                              \n",
              "39654    0                              \n",
              "39655    5                              \n",
              "39656   14                              \n",
              "39657    0                              \n",
              "39658    4                              \n",
              "39659   25                              \n",
              "39660    0                              \n",
              "39661    0                              \n",
              "39662    0                              \n",
              "39663    0                              \n",
              "39664   32                              \n",
              "39665   30                              \n",
              "39666  164                              \n",
              "39667    0                              \n",
              "39668   18                              \n",
              "39669   24                              \n",
              "39670   36                              \n",
              "39671  209                              \n",
              "39672   12                              \n",
              "39673   18                              \n",
              "39674   96                              \n",
              "39675    0                              \n",
              "39676    0                              \n",
              "39677   94                              \n",
              "39678 3350                              \n",
              "39679   24                              \n",
              "39680  181                              \n",
              "      Experiment - Difference (original values)\n",
              "1         0.0000000                            \n",
              "2         0.0000000                            \n",
              "3         0.0000000                            \n",
              "4         0.0000000                            \n",
              "5        29.6666667                            \n",
              "6         0.0000000                            \n",
              "7         0.0000000                            \n",
              "8     14807.0000000                            \n",
              "9         0.0000000                            \n",
              "10        0.0000000                            \n",
              "11        0.0000000                            \n",
              "12       -0.3333333                            \n",
              "13      127.6666667                            \n",
              "14       -0.6666667                            \n",
              "15        0.0000000                            \n",
              "16      112.3333333                            \n",
              "17        0.0000000                            \n",
              "18      141.0000000                            \n",
              "19        0.0000000                            \n",
              "20        0.0000000                            \n",
              "21        0.0000000                            \n",
              "22        0.0000000                            \n",
              "23        0.0000000                            \n",
              "24        0.0000000                            \n",
              "25      181.6666667                            \n",
              "26       79.0000000                            \n",
              "27      213.6666667                            \n",
              "28       15.3333333                            \n",
              "29      403.0000000                            \n",
              "30       10.0000000                            \n",
              "⋮     ⋮                                        \n",
              "39651    0.3333333                             \n",
              "39652   -1.3333333                             \n",
              "39653    2.0000000                             \n",
              "39654    0.0000000                             \n",
              "39655   15.6666667                             \n",
              "39656   15.0000000                             \n",
              "39657    0.0000000                             \n",
              "39658   -2.6666667                             \n",
              "39659  113.0000000                             \n",
              "39660    0.6666667                             \n",
              "39661    0.0000000                             \n",
              "39662    0.0000000                             \n",
              "39663    0.0000000                             \n",
              "39664  496.0000000                             \n",
              "39665   36.3333333                             \n",
              "39666  400.3333333                             \n",
              "39667    0.0000000                             \n",
              "39668   18.3333333                             \n",
              "39669   17.0000000                             \n",
              "39670   61.3333333                             \n",
              "39671   97.6666667                             \n",
              "39672   47.3333333                             \n",
              "39673   87.6666667                             \n",
              "39674  100.6666667                             \n",
              "39675    0.0000000                             \n",
              "39676    0.0000000                             \n",
              "39677  -65.3333333                             \n",
              "39678 6001.6666667                             \n",
              "39679  385.0000000                             \n",
              "39680  -98.0000000                             \n",
              "      Experiment - Fold Change (original values)\n",
              "1      1.000000                                 \n",
              "2      1.000000                                 \n",
              "3      1.000000                                 \n",
              "4      1.000000                                 \n",
              "5      1.390351                                 \n",
              "6      1.000000                                 \n",
              "7     -1.000000                                 \n",
              "8      1.603308                                 \n",
              "9      1.000000                                 \n",
              "10    -1.000000                                 \n",
              "11     1.000000                                 \n",
              "12           NA                                 \n",
              "13     5.848101                                 \n",
              "14    -1.142857                                 \n",
              "15     1.000000                                 \n",
              "16     1.355111                                 \n",
              "17     1.000000                                 \n",
              "18     1.577869                                 \n",
              "19     1.000000                                 \n",
              "20     1.000000                                 \n",
              "21     1.000000                                 \n",
              "22     1.000000                                 \n",
              "23     1.000000                                 \n",
              "24     1.000000                                 \n",
              "25     2.189956                                 \n",
              "26     1.172489                                 \n",
              "27     1.302930                                 \n",
              "28     1.270588                                 \n",
              "29     1.295599                                 \n",
              "30     1.769231                                 \n",
              "⋮     ⋮                                         \n",
              "39651        NA                                 \n",
              "39652 -1.010724                                 \n",
              "39653  7.000000                                 \n",
              "39654  1.000000                                 \n",
              "39655  1.367188                                 \n",
              "39656  1.171756                                 \n",
              "39657  1.000000                                 \n",
              "39658 -1.060606                                 \n",
              "39659  2.533937                                 \n",
              "39660        NA                                 \n",
              "39661  1.000000                                 \n",
              "39662  1.000000                                 \n",
              "39663  1.000000                                 \n",
              "39664  2.084548                                 \n",
              "39665  1.314121                                 \n",
              "39666  1.516115                                 \n",
              "39667  1.000000                                 \n",
              "39668  1.144357                                 \n",
              "39669  1.069293                                 \n",
              "39670  1.419134                                 \n",
              "39671  1.353865                                 \n",
              "39672  3.679245                                 \n",
              "39673  2.308458                                 \n",
              "39674  1.270125                                 \n",
              "39675 -1.000000                                 \n",
              "39676  1.000000                                 \n",
              "39677 -1.223235                                 \n",
              "39678  1.341631                                 \n",
              "39679  1.268542                                 \n",
              "39680 -1.265583                                 \n",
              "      EDGE test: WT Ctrl vs WT Af_2h, tagwise dispersions - P-value\n",
              "1     1.000000000                                                  \n",
              "2     1.000000000                                                  \n",
              "3     1.000000000                                                  \n",
              "4     1.000000000                                                  \n",
              "5     0.965931109                                                  \n",
              "6     1.000000000                                                  \n",
              "7     1.000000000                                                  \n",
              "8     0.552001911                                                  \n",
              "9     1.000000000                                                  \n",
              "10    1.000000000                                                  \n",
              "11    1.000000000                                                  \n",
              "12    1.000000000                                                  \n",
              "13    0.021492044                                                  \n",
              "14    0.381754318                                                  \n",
              "15    1.000000000                                                  \n",
              "16    0.765357655                                                  \n",
              "17    1.000000000                                                  \n",
              "18    0.658118860                                                  \n",
              "19    1.000000000                                                  \n",
              "20    1.000000000                                                  \n",
              "21    1.000000000                                                  \n",
              "22    1.000000000                                                  \n",
              "23    1.000000000                                                  \n",
              "24    1.000000000                                                  \n",
              "25    0.004554695                                                  \n",
              "26    0.125836185                                                  \n",
              "27    0.625300717                                                  \n",
              "28    0.443252911                                                  \n",
              "29    0.823187782                                                  \n",
              "30    0.380847121                                                  \n",
              "⋮     ⋮                                                            \n",
              "39651 1.000000e+00                                                 \n",
              "39652 5.041983e-02                                                 \n",
              "39653 2.428649e-01                                                 \n",
              "39654 1.000000e+00                                                 \n",
              "39655 9.395131e-01                                                 \n",
              "39656 3.986060e-01                                                 \n",
              "39657 1.000000e+00                                                 \n",
              "39658 4.770016e-02                                                 \n",
              "39659 9.518849e-04                                                 \n",
              "39660 5.100747e-01                                                 \n",
              "39661 1.000000e+00                                                 \n",
              "39662 1.000000e+00                                                 \n",
              "39663 1.000000e+00                                                 \n",
              "39664 2.555861e-03                                                 \n",
              "39665 5.119833e-01                                                 \n",
              "39666 3.942231e-01                                                 \n",
              "39667 1.000000e+00                                                 \n",
              "39668 1.570314e-01                                                 \n",
              "39669 6.372752e-02                                                 \n",
              "39670 9.224332e-01                                                 \n",
              "39671 5.600961e-01                                                 \n",
              "39672 2.058773e-05                                                 \n",
              "39673 3.918561e-03                                                 \n",
              "39674 7.770913e-01                                                 \n",
              "39675 1.000000e+00                                                 \n",
              "39676 1.000000e+00                                                 \n",
              "39677 4.769794e-04                                                 \n",
              "39678 9.773032e-01                                                 \n",
              "39679 5.697098e-01                                                 \n",
              "39680 5.970000e-05                                                 \n",
              "      EDGE test: WT Ctrl vs WT Af_2h, tagwise dispersions - Fold change\n",
              "1      1.000000                                                        \n",
              "2      1.000000                                                        \n",
              "3      1.000000                                                        \n",
              "4      1.000000                                                        \n",
              "5     -1.010500                                                        \n",
              "6      1.000000                                                        \n",
              "7     -1.299993                                                        \n",
              "8      1.089459                                                        \n",
              "9      1.000000                                                        \n",
              "10    -1.335160                                                        \n",
              "11     1.000000                                                        \n",
              "12    -4.188553                                                        \n",
              "13     5.019092                                                        \n",
              "14    -1.597118                                                        \n",
              "15     1.000000                                                        \n",
              "16    -1.045537                                                        \n",
              "17     1.000000                                                        \n",
              "18     1.074046                                                        \n",
              "19     1.000000                                                        \n",
              "20     1.000000                                                        \n",
              "21     1.000000                                                        \n",
              "22     1.000000                                                        \n",
              "23     1.000000                                                        \n",
              "24     1.000000                                                        \n",
              "25     1.557962                                                        \n",
              "26    -1.253411                                                        \n",
              "27    -1.067100                                                        \n",
              "28    -1.162317                                                        \n",
              "29    -1.031054                                                        \n",
              "30     1.286079                                                        \n",
              "⋮     ⋮                                                                \n",
              "39651  3.227369                                                        \n",
              "39652 -1.398087                                                        \n",
              "39653  3.905143                                                        \n",
              "39654  1.000000                                                        \n",
              "39655 -1.029038                                                        \n",
              "39656 -1.162510                                                        \n",
              "39657  1.000000                                                        \n",
              "39658 -1.558051                                                        \n",
              "39659  1.864933                                                        \n",
              "39660  5.801828                                                        \n",
              "39661  1.000000                                                        \n",
              "39662  1.000000                                                        \n",
              "39663  1.000000                                                        \n",
              "39664  1.561909                                                        \n",
              "39665 -1.117301                                                        \n",
              "39666  1.121019                                                        \n",
              "39667  1.000000                                                        \n",
              "39668 -1.261548                                                        \n",
              "39669 -1.310502                                                        \n",
              "39670  1.019555                                                        \n",
              "39671 -1.163499                                                        \n",
              "39672  2.651312                                                        \n",
              "39673  1.662093                                                        \n",
              "39674 -1.046298                                                        \n",
              "39675 -1.235882                                                        \n",
              "39676  1.000000                                                        \n",
              "39677 -1.688513                                                        \n",
              "39678  1.003588                                                        \n",
              "39679 -1.072695                                                        \n",
              "39680 -1.804698                                                        \n",
              "      EDGE test: WT Ctrl vs WT Af_2h, tagwise dispersions - Weighted difference\n",
              "1      0.000000e+00                                                            \n",
              "2      0.000000e+00                                                            \n",
              "3      0.000000e+00                                                            \n",
              "4      0.000000e+00                                                            \n",
              "5     -5.785314e-08                                                            \n",
              "6      0.000000e+00                                                            \n",
              "7     -7.391001e-09                                                            \n",
              "8      1.602609e-04                                                            \n",
              "9      0.000000e+00                                                            \n",
              "10    -2.021694e-08                                                            \n",
              "11     0.000000e+00                                                            \n",
              "12    -2.429740e-08                                                            \n",
              "13     7.516690e-06                                                            \n",
              "14    -1.488439e-07                                                            \n",
              "15     0.000000e+00                                                            \n",
              "16    -1.007185e-06                                                            \n",
              "17     0.000000e+00                                                            \n",
              "18     1.322903e-06                                                            \n",
              "19     0.000000e+00                                                            \n",
              "20     0.000000e+00                                                            \n",
              "21     0.000000e+00                                                            \n",
              "22     0.000000e+00                                                            \n",
              "23     0.000000e+00                                                            \n",
              "24     0.000000e+00                                                            \n",
              "25     6.221079e-06                                                            \n",
              "26    -6.775394e-06                                                            \n",
              "27    -3.245629e-06                                                            \n",
              "28    -5.786259e-07                                                            \n",
              "29    -3.006928e-06                                                            \n",
              "30     2.744140e-07                                                            \n",
              "⋮     ⋮                                                                        \n",
              "39651  1.697299e-08                                                            \n",
              "39652 -2.609459e-06                                                            \n",
              "39653  9.278139e-08                                                            \n",
              "39654  0.000000e+00                                                            \n",
              "39655 -8.874856e-08                                                            \n",
              "39656 -8.930765e-07                                                            \n",
              "39657  0.000000e+00                                                            \n",
              "39658 -1.221944e-06                                                            \n",
              "39659  4.644613e-06                                                            \n",
              "39660  3.659087e-08                                                            \n",
              "39661  0.000000e+00                                                            \n",
              "39662  0.000000e+00                                                            \n",
              "39663  0.000000e+00                                                            \n",
              "39664  1.876166e-05                                                            \n",
              "39665 -8.865319e-07                                                            \n",
              "39666  6.858322e-06                                                            \n",
              "39667  0.000000e+00                                                            \n",
              "39668 -1.925632e-06                                                            \n",
              "39669 -4.252049e-06                                                            \n",
              "39670  2.088810e-07                                                            \n",
              "39671 -2.836065e-06                                                            \n",
              "39672  2.142344e-06                                                            \n",
              "39673  3.250491e-06                                                            \n",
              "39674 -1.203377e-06                                                            \n",
              "39675 -6.093308e-09                                                            \n",
              "39676  0.000000e+00                                                            \n",
              "39677 -1.064585e-05                                                            \n",
              "39678  4.623899e-06                                                            \n",
              "39679 -7.111185e-06                                                            \n",
              "39680 -1.522793e-05                                                            \n",
              "      EDGE test: WT Ctrl vs WT Af_2h, tagwise dispersions - FDR p-value correction\n",
              "1     1.0000000                                                                   \n",
              "2     1.0000000                                                                   \n",
              "3     1.0000000                                                                   \n",
              "4     1.0000000                                                                   \n",
              "5     1.0000000                                                                   \n",
              "6     1.0000000                                                                   \n",
              "7     1.0000000                                                                   \n",
              "8     1.0000000                                                                   \n",
              "9     1.0000000                                                                   \n",
              "10    1.0000000                                                                   \n",
              "11    1.0000000                                                                   \n",
              "12    1.0000000                                                                   \n",
              "13    0.4075383                                                                   \n",
              "14    1.0000000                                                                   \n",
              "15    1.0000000                                                                   \n",
              "16    1.0000000                                                                   \n",
              "17    1.0000000                                                                   \n",
              "18    1.0000000                                                                   \n",
              "19    1.0000000                                                                   \n",
              "20    1.0000000                                                                   \n",
              "21    1.0000000                                                                   \n",
              "22    1.0000000                                                                   \n",
              "23    1.0000000                                                                   \n",
              "24    1.0000000                                                                   \n",
              "25    0.1252462                                                                   \n",
              "26    1.0000000                                                                   \n",
              "27    1.0000000                                                                   \n",
              "28    1.0000000                                                                   \n",
              "29    1.0000000                                                                   \n",
              "30    1.0000000                                                                   \n",
              "⋮     ⋮                                                                           \n",
              "39651 1.000000000                                                                 \n",
              "39652 0.742359524                                                                 \n",
              "39653 1.000000000                                                                 \n",
              "39654 1.000000000                                                                 \n",
              "39655 1.000000000                                                                 \n",
              "39656 1.000000000                                                                 \n",
              "39657 1.000000000                                                                 \n",
              "39658 0.715040211                                                                 \n",
              "39659 0.034305896                                                                 \n",
              "39660 1.000000000                                                                 \n",
              "39661 1.000000000                                                                 \n",
              "39662 1.000000000                                                                 \n",
              "39663 1.000000000                                                                 \n",
              "39664 0.077358172                                                                 \n",
              "39665 1.000000000                                                                 \n",
              "39666 1.000000000                                                                 \n",
              "39667 1.000000000                                                                 \n",
              "39668 1.000000000                                                                 \n",
              "39669 0.862451597                                                                 \n",
              "39670 1.000000000                                                                 \n",
              "39671 1.000000000                                                                 \n",
              "39672 0.001187385                                                                 \n",
              "39673 0.110825732                                                                 \n",
              "39674 1.000000000                                                                 \n",
              "39675 1.000000000                                                                 \n",
              "39676 1.000000000                                                                 \n",
              "39677 0.019234290                                                                 \n",
              "39678 1.000000000                                                                 \n",
              "39679 1.000000000                                                                 \n",
              "39680 0.003080489                                                                 \n",
              "      WT Ctrl - 17014-0001_S1_(GE) - Expression values ⋯\n",
              "1         0                                            ⋯\n",
              "2         0                                            ⋯\n",
              "3         0                                            ⋯\n",
              "4         0                                            ⋯\n",
              "5        77                                            ⋯\n",
              "6         0                                            ⋯\n",
              "7         0                                            ⋯\n",
              "8     27568                                            ⋯\n",
              "9         0                                            ⋯\n",
              "10        2                                            ⋯\n",
              "11        0                                            ⋯\n",
              "12        1                                            ⋯\n",
              "13       64                                            ⋯\n",
              "14        5                                            ⋯\n",
              "15        0                                            ⋯\n",
              "16      340                                            ⋯\n",
              "17        0                                            ⋯\n",
              "18      245                                            ⋯\n",
              "19        0                                            ⋯\n",
              "20        0                                            ⋯\n",
              "21        0                                            ⋯\n",
              "22        0                                            ⋯\n",
              "23        0                                            ⋯\n",
              "24        0                                            ⋯\n",
              "25      173                                            ⋯\n",
              "26      470                                            ⋯\n",
              "27      720                                            ⋯\n",
              "28       65                                            ⋯\n",
              "29     1342                                            ⋯\n",
              "30       12                                            ⋯\n",
              "⋮     ⋮                                                ⋱\n",
              "39651     0                                            ⋯\n",
              "39652   153                                            ⋯\n",
              "39653     1                                            ⋯\n",
              "39654     0                                            ⋯\n",
              "39655    33                                            ⋯\n",
              "39656    95                                            ⋯\n",
              "39657     0                                            ⋯\n",
              "39658    55                                            ⋯\n",
              "39659    94                                            ⋯\n",
              "39660     0                                            ⋯\n",
              "39661     0                                            ⋯\n",
              "39662     0                                            ⋯\n",
              "39663     0                                            ⋯\n",
              "39664   511                                            ⋯\n",
              "39665   135                                            ⋯\n",
              "39666   840                                            ⋯\n",
              "39667     0                                            ⋯\n",
              "39668   137                                            ⋯\n",
              "39669   257                                            ⋯\n",
              "39670   170                                            ⋯\n",
              "39671   296                                            ⋯\n",
              "39672    21                                            ⋯\n",
              "39673    68                                            ⋯\n",
              "39674   426                                            ⋯\n",
              "39675     1                                            ⋯\n",
              "39676     0                                            ⋯\n",
              "39677   420                                            ⋯\n",
              "39678 16038                                            ⋯\n",
              "39679  1446                                            ⋯\n",
              "39680   492                                            ⋯\n",
              "      WT Af_2h - 17014-0009_S9_(GE) - Total exon-exon reads\n",
              "1         0                                                \n",
              "2         0                                                \n",
              "3         0                                                \n",
              "4         0                                                \n",
              "5        31                                                \n",
              "6         0                                                \n",
              "7         0                                                \n",
              "8     35048                                                \n",
              "9         0                                                \n",
              "10        1                                                \n",
              "11        0                                                \n",
              "12        0                                                \n",
              "13        0                                                \n",
              "14        0                                                \n",
              "15        0                                                \n",
              "16      463                                                \n",
              "17        0                                                \n",
              "18      251                                                \n",
              "19        0                                                \n",
              "20        0                                                \n",
              "21        0                                                \n",
              "22        0                                                \n",
              "23        0                                                \n",
              "24        0                                                \n",
              "25      213                                                \n",
              "26      383                                                \n",
              "27      220                                                \n",
              "28       67                                                \n",
              "29     1321                                                \n",
              "30        1                                                \n",
              "⋮     ⋮                                                    \n",
              "39651    1                                                 \n",
              "39652   47                                                 \n",
              "39653    3                                                 \n",
              "39654    0                                                 \n",
              "39655   16                                                 \n",
              "39656    0                                                 \n",
              "39657    0                                                 \n",
              "39658    0                                                 \n",
              "39659   47                                                 \n",
              "39660    0                                                 \n",
              "39661    0                                                 \n",
              "39662    0                                                 \n",
              "39663    0                                                 \n",
              "39664  331                                                 \n",
              "39665   56                                                 \n",
              "39666  623                                                 \n",
              "39667    0                                                 \n",
              "39668   93                                                 \n",
              "39669  192                                                 \n",
              "39670  168                                                 \n",
              "39671  255                                                 \n",
              "39672    0                                                 \n",
              "39673    0                                                 \n",
              "39674   82                                                 \n",
              "39675    0                                                 \n",
              "39676    0                                                 \n",
              "39677   79                                                 \n",
              "39678 9820                                                 \n",
              "39679 1025                                                 \n",
              "39680  165                                                 \n",
              "      WT Af_2h - 17014-0009_S9_(GE) - Unique intron reads\n",
              "1       0                                                \n",
              "2       0                                                \n",
              "3       0                                                \n",
              "4       0                                                \n",
              "5      74                                                \n",
              "6      75                                                \n",
              "7       0                                                \n",
              "8     183                                                \n",
              "9      15                                                \n",
              "10      8                                                \n",
              "11      0                                                \n",
              "12      8                                                \n",
              "13      7                                                \n",
              "14      0                                                \n",
              "15      0                                                \n",
              "16     57                                                \n",
              "17      0                                                \n",
              "18     79                                                \n",
              "19      0                                                \n",
              "20      0                                                \n",
              "21      0                                                \n",
              "22      0                                                \n",
              "23      0                                                \n",
              "24      0                                                \n",
              "25     19                                                \n",
              "26     58                                                \n",
              "27    180                                                \n",
              "28     15                                                \n",
              "29     43                                                \n",
              "30     68                                                \n",
              "⋮     ⋮                                                  \n",
              "39651   2                                                \n",
              "39652  34                                                \n",
              "39653   0                                                \n",
              "39654   1                                                \n",
              "39655 109                                                \n",
              "39656   3                                                \n",
              "39657   0                                                \n",
              "39658   1                                                \n",
              "39659  14                                                \n",
              "39660   5                                                \n",
              "39661   0                                                \n",
              "39662   0                                                \n",
              "39663   0                                                \n",
              "39664 166                                                \n",
              "39665  41                                                \n",
              "39666  58                                                \n",
              "39667   0                                                \n",
              "39668  21                                                \n",
              "39669  12                                                \n",
              "39670   8                                                \n",
              "39671  11                                                \n",
              "39672   0                                                \n",
              "39673   0                                                \n",
              "39674 100                                                \n",
              "39675   2                                                \n",
              "39676   0                                                \n",
              "39677  34                                                \n",
              "39678 492                                                \n",
              "39679 143                                                \n",
              "39680  90                                                \n",
              "      WT Af_2h - 17014-0009_S9_(GE) - Total intron reads\n",
              "1       0                                               \n",
              "2       0                                               \n",
              "3       0                                               \n",
              "4       0                                               \n",
              "5     103                                               \n",
              "6     154                                               \n",
              "7       0                                               \n",
              "8     193                                               \n",
              "9      15                                               \n",
              "10      8                                               \n",
              "11      0                                               \n",
              "12      8                                               \n",
              "13      7                                               \n",
              "14      0                                               \n",
              "15      0                                               \n",
              "16     57                                               \n",
              "17      0                                               \n",
              "18     79                                               \n",
              "19      0                                               \n",
              "20      0                                               \n",
              "21      0                                               \n",
              "22      0                                               \n",
              "23      0                                               \n",
              "24      0                                               \n",
              "25     19                                               \n",
              "26     59                                               \n",
              "27    180                                               \n",
              "28     17                                               \n",
              "29     43                                               \n",
              "30     68                                               \n",
              "⋮     ⋮                                                 \n",
              "39651   2                                               \n",
              "39652  62                                               \n",
              "39653   0                                               \n",
              "39654   1                                               \n",
              "39655 110                                               \n",
              "39656   3                                               \n",
              "39657   0                                               \n",
              "39658   1                                               \n",
              "39659  14                                               \n",
              "39660   7                                               \n",
              "39661   0                                               \n",
              "39662   0                                               \n",
              "39663   0                                               \n",
              "39664 352                                               \n",
              "39665  43                                               \n",
              "39666 116                                               \n",
              "39667   0                                               \n",
              "39668  22                                               \n",
              "39669  13                                               \n",
              "39670  13                                               \n",
              "39671  11                                               \n",
              "39672   0                                               \n",
              "39673   0                                               \n",
              "39674 100                                               \n",
              "39675   2                                               \n",
              "39676   0                                               \n",
              "39677  42                                               \n",
              "39678 521                                               \n",
              "39679 144                                               \n",
              "39680  90                                               \n",
              "      WT Af_2h - 17014-0009_S9_(GE) - Ratio of intron to total gene reads\n",
              "1             NA                                                         \n",
              "2             NA                                                         \n",
              "3             NA                                                         \n",
              "4             NA                                                         \n",
              "5     0.38289963                                                         \n",
              "6     1.00000000                                                         \n",
              "7     0.00000000                                                         \n",
              "8     0.00287802                                                         \n",
              "9     1.00000000                                                         \n",
              "10    0.88888889                                                         \n",
              "11            NA                                                         \n",
              "12    1.00000000                                                         \n",
              "13    0.14583333                                                         \n",
              "14    0.00000000                                                         \n",
              "15            NA                                                         \n",
              "16    0.07569721                                                         \n",
              "17            NA                                                         \n",
              "18    0.10381078                                                         \n",
              "19            NA                                                         \n",
              "20            NA                                                         \n",
              "21            NA                                                         \n",
              "22            NA                                                         \n",
              "23            NA                                                         \n",
              "24            NA                                                         \n",
              "25    0.03417266                                                         \n",
              "26    0.05684008                                                         \n",
              "27    0.10968921                                                         \n",
              "28    0.11971831                                                         \n",
              "29    0.01644989                                                         \n",
              "30    0.66019417                                                         \n",
              "⋮     ⋮                                                                  \n",
              "39651 0.66666667                                                         \n",
              "39652 0.23664122                                                         \n",
              "39653 0.00000000                                                         \n",
              "39654 1.00000000                                                         \n",
              "39655 0.50228311                                                         \n",
              "39656 0.01875000                                                         \n",
              "39657         NA                                                         \n",
              "39658 0.01315789                                                         \n",
              "39659 0.04635762                                                         \n",
              "39660 1.00000000                                                         \n",
              "39661         NA                                                         \n",
              "39662         NA                                                         \n",
              "39663         NA                                                         \n",
              "39664 0.20335066                                                         \n",
              "39665 0.13870968                                                         \n",
              "39666 0.06260119                                                         \n",
              "39667         NA                                                         \n",
              "39668 0.08029197                                                         \n",
              "39669 0.02914798                                                         \n",
              "39670 0.04000000                                                         \n",
              "39671 0.01605839                                                         \n",
              "39672 0.00000000                                                         \n",
              "39673 0.00000000                                                         \n",
              "39674 0.12903226                                                         \n",
              "39675 1.00000000                                                         \n",
              "39676         NA                                                         \n",
              "39677 0.08123791                                                         \n",
              "39678 0.01452548                                                         \n",
              "39679 0.04896294                                                         \n",
              "39680 0.12569832                                                         \n",
              "      WT Af_2h - 17014-0009_S9_(GE) - Exons\n",
              "1      0                                   \n",
              "2      0                                   \n",
              "3      0                                   \n",
              "4      0                                   \n",
              "5     11                                   \n",
              "6      0                                   \n",
              "7     19                                   \n",
              "8     36                                   \n",
              "9      0                                   \n",
              "10    38                                   \n",
              "11     0                                   \n",
              "12     5                                   \n",
              "13    11                                   \n",
              "14     3                                   \n",
              "15     0                                   \n",
              "16    16                                   \n",
              "17     0                                   \n",
              "18    20                                   \n",
              "19     0                                   \n",
              "20     9                                   \n",
              "21     5                                   \n",
              "22     4                                   \n",
              "23     4                                   \n",
              "24    19                                   \n",
              "25     9                                   \n",
              "26    15                                   \n",
              "27    27                                   \n",
              "28     6                                   \n",
              "29    13                                   \n",
              "30     8                                   \n",
              "⋮     ⋮                                    \n",
              "39651  5                                   \n",
              "39652 11                                   \n",
              "39653  6                                   \n",
              "39654  0                                   \n",
              "39655  8                                   \n",
              "39656  5                                   \n",
              "39657  9                                   \n",
              "39658  2                                   \n",
              "39659 16                                   \n",
              "39660 19                                   \n",
              "39661  0                                   \n",
              "39662  0                                   \n",
              "39663  0                                   \n",
              "39664 14                                   \n",
              "39665  7                                   \n",
              "39666 34                                   \n",
              "39667  0                                   \n",
              "39668 10                                   \n",
              "39669 16                                   \n",
              "39670 19                                   \n",
              "39671 14                                   \n",
              "39672  1                                   \n",
              "39673  1                                   \n",
              "39674 14                                   \n",
              "39675 14                                   \n",
              "39676  0                                   \n",
              "39677 15                                   \n",
              "39678 12                                   \n",
              "39679 61                                   \n",
              "39680 21                                   \n",
              "      WT Af_2h - 17014-0009_S9_(GE) - RPKM\n",
              "1     0.000000e+00                        \n",
              "2     0.000000e+00                        \n",
              "3     0.000000e+00                        \n",
              "4     0.000000e+00                        \n",
              "5     2.343971e+00                        \n",
              "6     1.253702e+00                        \n",
              "7     2.745821e-03                        \n",
              "8     3.760091e+02                        \n",
              "9     1.363230e-01                        \n",
              "10    4.800905e-03                        \n",
              "11    0.000000e+00                        \n",
              "12    0.000000e+00                        \n",
              "13    3.526503e-01                        \n",
              "14    1.034187e-01                        \n",
              "15    0.000000e+00                        \n",
              "16    9.913333e+00                        \n",
              "17    0.000000e+00                        \n",
              "18    5.360314e+00                        \n",
              "19    0.000000e+00                        \n",
              "20    0.000000e+00                        \n",
              "21    0.000000e+00                        \n",
              "22    0.000000e+00                        \n",
              "23    0.000000e+00                        \n",
              "24    0.000000e+00                        \n",
              "25    8.500041e+00                        \n",
              "26    7.299934e+00                        \n",
              "27    1.752727e+00                        \n",
              "28    5.388166e+00                        \n",
              "29    3.745548e+01                        \n",
              "30    4.375407e-01                        \n",
              "⋮     ⋮                                   \n",
              "39651 1.164957e-02                        \n",
              "39652 2.132431e+00                        \n",
              "39653 7.549028e-02                        \n",
              "39654 7.129409e-03                        \n",
              "39655 1.553365e+00                        \n",
              "39656 1.286934e+00                        \n",
              "39657 0.000000e+00                        \n",
              "39658 6.963697e-01                        \n",
              "39659 1.593129e+00                        \n",
              "39660 0.000000e+00                        \n",
              "39661 0.000000e+00                        \n",
              "39662 0.000000e+00                        \n",
              "39663 0.000000e+00                        \n",
              "39664 6.556686e+00                        \n",
              "39665 3.479102e+00                        \n",
              "39666 7.437160e+00                        \n",
              "39667 0.000000e+00                        \n",
              "39668 2.982163e+00                        \n",
              "39669 3.843085e+00                        \n",
              "39670 2.564706e+00                        \n",
              "39671 8.548310e+00                        \n",
              "39672 4.877015e-01                        \n",
              "39673 1.196482e+00                        \n",
              "39674 1.118726e+00                        \n",
              "39675 0.000000e+00                        \n",
              "39676 0.000000e+00                        \n",
              "39677 1.525324e+00                        \n",
              "39678 3.972731e+02                        \n",
              "39679 6.097085e+00                        \n",
              "39680 2.509845e+00                        \n",
              "      WT Af_2h - 17014-0009_S9_(GE) - Chromosome\n",
              "1     chr6                                      \n",
              "2     chr6                                      \n",
              "3     chr6                                      \n",
              "4     chr3                                      \n",
              "5     chr19                                     \n",
              "6     chr19                                     \n",
              "7     chr10                                     \n",
              "8     chr12                                     \n",
              "9     chr12                                     \n",
              "10    chr12                                     \n",
              "11    chr12                                     \n",
              "12    chr1                                      \n",
              "13    chr22                                     \n",
              "14    chr3                                      \n",
              "15    chr17                                     \n",
              "16    chr12                                     \n",
              "17    chr8                                      \n",
              "18    chr12                                     \n",
              "19    chr5                                      \n",
              "20    chr3                                      \n",
              "21    chr3                                      \n",
              "22    chr1                                      \n",
              "23    chr1                                      \n",
              "24    chr4                                      \n",
              "25    chr9                                      \n",
              "26    chr15                                     \n",
              "27    chr2                                      \n",
              "28    chr11                                     \n",
              "29    chr2                                      \n",
              "30    chr17                                     \n",
              "⋮     ⋮                                         \n",
              "39651 chr19                                     \n",
              "39652 chr19                                     \n",
              "39653 chr19                                     \n",
              "39654 chr19                                     \n",
              "39655 chr6                                      \n",
              "39656 chr20                                     \n",
              "39657 chr2                                      \n",
              "39658 chr20                                     \n",
              "39659 chr19                                     \n",
              "39660 chr1                                      \n",
              "39661 chr17                                     \n",
              "39662 chr17                                     \n",
              "39663 chr4                                      \n",
              "39664 chr5                                      \n",
              "39665 chr17                                     \n",
              "39666 chr10                                     \n",
              "39667 chr10                                     \n",
              "39668 chr6                                      \n",
              "39669 chr11                                     \n",
              "39670 chr15                                     \n",
              "39671 chr10                                     \n",
              "39672 chr23                                     \n",
              "39673 chr23                                     \n",
              "39674 chr3                                      \n",
              "39675 chr1                                      \n",
              "39676 chr9                                      \n",
              "39677 chr1                                      \n",
              "39678 chr7                                      \n",
              "39679 chr17                                     \n",
              "39680 chr1                                      \n",
              "      WT Af_2h - 17014-0009_S9_(GE) - Chromosome region start\n",
              "1      29878011                                              \n",
              "2      29833691                                              \n",
              "3      29732892                                              \n",
              "4     183794433                                              \n",
              "5      58858171                                              \n",
              "6      58863335                                              \n",
              "7      52559168                                              \n",
              "8       9220303                                              \n",
              "9       9217772                                              \n",
              "10      8975149                                              \n",
              "11      9381128                                              \n",
              "12     33772366                                              \n",
              "13     43088122                                              \n",
              "14    137842559                                              \n",
              "15     31856805                                              \n",
              "16     53701239                                              \n",
              "17     18227418                                              \n",
              "18    125549924                                              \n",
              "19    178191861                                              \n",
              "20    151531768                                              \n",
              "21    151451703                                              \n",
              "22     12776117                                              \n",
              "23     12704565                                              \n",
              "24    170981372                                              \n",
              "25     99403108                                              \n",
              "26     67493012                                              \n",
              "27     69685126                                              \n",
              "28     77532146                                              \n",
              "29    219128851                                              \n",
              "30     74449432                                              \n",
              "⋮     ⋮                                                      \n",
              "39651  58180302                                              \n",
              "39652  56732671                                              \n",
              "39653  56701057                                              \n",
              "39654  56717153                                              \n",
              "39655  28193028                                              \n",
              "39656  44509580                                              \n",
              "39657 187692206                                              \n",
              "39658  44486219                                              \n",
              "39659  13906257                                              \n",
              "39660  45482070                                              \n",
              "39661  15672033                                              \n",
              "39662  20487070                                              \n",
              "39663 130057086                                              \n",
              "39664  60628099                                              \n",
              "39665  15879873                                              \n",
              "39666  75545333                                              \n",
              "39667  75556271                                              \n",
              "39668 116956780                                              \n",
              "39669 113603904                                              \n",
              "39670  66797430                                              \n",
              "39671  58117015                                              \n",
              "39672  57931863                                              \n",
              "39673  57618268                                              \n",
              "39674 126156443                                              \n",
              "39675  53308182                                              \n",
              "39676 105373385                                              \n",
              "39677  53192125                                              \n",
              "39678 143078337                                              \n",
              "39679   3907738                                              \n",
              "39680  78028159                                              \n",
              "      WT Af_2h - 17014-0009_S9_(GE) - Chromosome region end WT Af_2h - Means\n",
              "1      29879177                                             0.000000e+00    \n",
              "2      29834864                                             0.000000e+00    \n",
              "3      29734073                                             0.000000e+00    \n",
              "4     183802119                                             0.000000e+00    \n",
              "5      58864865                                             1.056667e+02    \n",
              "6      58866549                                             0.000000e+00    \n",
              "7      52645435                                             3.333333e-01    \n",
              "8       9268558                                             3.935000e+04    \n",
              "9       9220651                                             0.000000e+00    \n",
              "10      9029381                                             1.000000e+00    \n",
              "11      9386803                                             0.000000e+00    \n",
              "12     33786699                                             0.000000e+00    \n",
              "13     43117307                                             1.540000e+02    \n",
              "14    137851229                                             4.666667e+00    \n",
              "15     31860779                                             0.000000e+00    \n",
              "16     53715412                                             4.286667e+02    \n",
              "17     18229387                                             0.000000e+00    \n",
              "18    125627879                                             3.850000e+02    \n",
              "19    178203277                                             0.000000e+00    \n",
              "20    151546276                                             0.000000e+00    \n",
              "21    151475556                                             0.000000e+00    \n",
              "22     12788726                                             0.000000e+00    \n",
              "23     12727097                                             0.000000e+00    \n",
              "24    171012823                                             0.000000e+00    \n",
              "25     99417603                                             3.343333e+02    \n",
              "26     67547536                                             5.370000e+02    \n",
              "27     69901566                                             9.190000e+02    \n",
              "28     77583398                                             7.200000e+01    \n",
              "29    219134893                                             1.766333e+03    \n",
              "30     74466199                                             2.300000e+01    \n",
              "⋮     ⋮                                                     ⋮               \n",
              "39651  58190520                                             3.333333e-01    \n",
              "39652  56826208                                             1.243333e+02    \n",
              "39653  56709207                                             2.333333e+00    \n",
              "39654  56720823                                             0.000000e+00    \n",
              "39655  28201265                                             5.833333e+01    \n",
              "39656  44513905                                             1.023333e+02    \n",
              "39657 187713897                                             0.000000e+00    \n",
              "39658  44507770                                             4.400000e+01    \n",
              "39659  13943068                                             1.866667e+02    \n",
              "39660  45672250                                             6.666667e-01    \n",
              "39661  15674739                                             0.000000e+00    \n",
              "39662  20489771                                             0.000000e+00    \n",
              "39663 130060895                                             0.000000e+00    \n",
              "39664  60841999                                             9.533333e+02    \n",
              "39665  15903006                                             1.520000e+02    \n",
              "39666  75561556                                             1.176000e+03    \n",
              "39667  75561157                                             0.000000e+00    \n",
              "39668 116989973                                             1.453333e+02    \n",
              "39669 113644485                                             2.623333e+02    \n",
              "39670  66841823                                             2.076667e+02    \n",
              "39671  58121063                                             3.736667e+02    \n",
              "39672  57937067                                             6.500000e+01    \n",
              "39673  57623910                                             1.546667e+02    \n",
              "39674 126194773                                             4.733333e+02    \n",
              "39675  53360247                                             3.333333e-01    \n",
              "39676 105374251                                             0.000000e+00    \n",
              "39677  53293014                                             2.926667e+02    \n",
              "39678 143088204                                             2.356933e+04    \n",
              "39679   4046314                                             1.818667e+03    \n",
              "39680  78149119                                             3.690000e+02    "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# manipulações\n",
        "# Eliminar 3 primeiras linhas\n",
        "# Encontrar NA (\"missing values\")\n",
        "# Substituir NA por um número\n",
        "# Apagar linhas com NA"
      ],
      "metadata": {
        "id": "cqiZzxYVPupb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Visualização gráfica dos dados"
      ],
      "metadata": {
        "id": "UcYD3EoaQXWi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "library(readxl)"
      ],
      "metadata": {
        "id": "wv9tRksnMhYm"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Criar uma tabela de metadados"
      ],
      "metadata": {
        "id": "IMsn5h96Qd5y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a column data frame with multiple samples per condition\n",
        "colData <- DataFrame(condition = factor(c(\"control\", \"control\", \"treated\", \"treated\")),\n",
        "                     row.names = paste(\"Sample\", 1:4))\n",
        "\n",
        "# real metadata file"
      ],
      "metadata": {
        "id": "a-gmc68LMoUR"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# DE analysis (DESeq2)"
      ],
      "metadata": {
        "id": "FkkLg9C_ShRc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Load the DESeq2 library\n",
        "library(DESeq2)\n",
        "\n",
        "# Create a count matrix with multiple samples per condition\n",
        "countData <- matrix(c(10, 10, 20, 20, 30, 30, 40, 40, 15, 15, 25, 25, 35, 35, 45, 45),\n",
        "                    nrow = 4, ncol = 4,\n",
        "                    dimnames = list(paste(\"Gene\", 1:4), paste(\"Sample\", 1:4)))\n",
        "\n",
        "# Create a column data frame with multiple samples per condition\n",
        "colData <- DataFrame(condition = factor(c(\"control\", \"control\", \"treated\", \"treated\")),\n",
        "                     row.names = paste(\"Sample\", 1:4))\n",
        "\n",
        "# Calculate size factors\n",
        "dds <- estimateSizeFactors(dds)\n",
        "\n",
        "# Use gene-wise estimates as final estimates\n",
        "dds <- estimateDispersionsGeneEst(dds)\n",
        "dispersions(dds) <- mcols(dds)$dispGeneEst\n",
        "\n",
        "# Continue with testing\n",
        "dds <- nbinomWaldTest(dds)\n",
        "\n",
        "# Get the results\n",
        "res <- results(dds)\n",
        "\n",
        "# Print the results\n",
        "print(res)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-0y5SmRaXox9",
        "outputId": "e1feb732-5b89-4f61-c1ce-a46a145fa4ab"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "log2 fold change (MLE): condition treated vs control \n",
            "Wald test p-value: condition treated vs control \n",
            "DataFrame with 4 rows and 6 columns\n",
            "        baseMean log2FoldChange     lfcSE      stat    pvalue      padj\n",
            "       <numeric>      <numeric> <numeric> <numeric> <numeric> <numeric>\n",
            "Gene 1   20.0002      0.0463452  0.306042  0.151434  0.879633  0.879633\n",
            "Gene 2   20.0002      0.0463452  0.306042  0.151434  0.879633  0.879633\n",
            "Gene 3   30.9251     -0.0531905  0.253818 -0.209562  0.834010  0.879633\n",
            "Gene 4   30.9251     -0.0531905  0.253818 -0.209562  0.834010  0.879633\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Vulcano plot"
      ],
      "metadata": {
        "id": "vJBKFmJCSmuM"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Functional enrichment analysis"
      ],
      "metadata": {
        "id": "5LtuyKMQSqa_"
      }
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "8r-Rh79OSJAl"
      }
    }
  ]
}