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    12 repositories

    • dpGMM

      Public
      rGMM package
      R
      •1•1•0•0•Updated Oct 14, 2024Oct 14, 2024

    • GaMRed

      Public
      MATLAB
      •0•0•0•0•Updated Oct 10, 2024Oct 10, 2024

    • noMapper

      Public
      An NLP-based selector designed to search for specific sequences, markers, genes among DNA/RNA long-reads.
      Python
      •
      GNU General Public License v3.0
      •0•0•0•0•Updated Aug 23, 2024Aug 23, 2024

    • PyXplore

      Public
      Python
      •
      Apache License 2.0
      •0•0•0•0•Updated Aug 21, 2024Aug 21, 2024

    • MediaText

      Public
      MediaText: a media industry-based dataset for scene text detection.
      0•0•0•0•Updated Jul 22, 2024Jul 22, 2024

    • TCR_diversity

      Public
      R
      •0•0•0•0•Updated May 9, 2023May 9, 2023

    • PolCovid

      Public
      Data preprocessing pipeline for PolCovid database
      Python
      •0•1•0•0•Updated Dec 19, 2022Dec 19, 2022

    • MrGSEA

      Public
      MATLAB implementation of Gene Set Enrichment Analysis (GSEA) method for finding pathways which can show more complex relation between changes of gene expression due to different phenotypes.
      MATLAB
      •5•9•0•0•Updated Sep 7, 2022Sep 7, 2022

    • intGSASNP

      Public
      R
      •0•2•0•0•Updated Aug 25, 2021Aug 25, 2021

    • GMM_IC_DP

      Public
      Initializing EM algorithm for univariate Gaussian, multi-component, heteroscedastic mixture models by dynamic programming partitions
      MATLAB
      •0•0•0•0•Updated May 1, 2017May 1, 2017

    • Spec-GMM

      Public
      Matlab implementation of the efficient algorithm for Gaussian mixture modeling of spectra of different types (e.g., MALDI-ToF profiling, MALDI-IMS, NMR spectroscopy). The main idea is automated partitioning of spectral signal into fragments. The obtained fragments are separately decomposed into Gaussian mixture models. The parameters of the mixt…
      MATLAB
      •1•1•0•0•Updated Apr 4, 2017Apr 4, 2017

    • 2DGMMgel

      Public
      A three step algorithm for analysis of 2D gel electrophoresis images. The main idea is based on improving the efficiency of spot detection performed with any algorithm, by fitting mixture of 2D normal distributions. The algorithm is implemented in MATLAB R2016b.
      MATLAB
      •1•2•0•0•Updated Apr 3, 2017Apr 3, 2017