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    • Predictive models and analysis of cancer prognosis and drug response using primary tumor microbial abundances derived from WGS and RNA-seq sequencing data for 32 TCGA cancers (Poore et al. Nature 2020), including equivalent models using TCGA RNA-seq gene expression and combined microbial abundance and gene expression for comparison.
      Python
      BSD 3-Clause "New" or "Revised" License
      91400Updated Oct 20, 2024Oct 20, 2024
    • MORSE

      Public
      Jupyter Notebook
      GNU General Public License v3.0
      1000Updated Oct 15, 2024Oct 15, 2024
    • Software for analyzing the data in the trialtrove database
      Python
      1000Updated Aug 28, 2024Aug 28, 2024
    • Code for the identification step for CSI-Microbes
      Python
      Other
      72300Updated Jul 26, 2024Jul 26, 2024
    • DECODEM

      Public
      Investigate the predictive power of the TME for patient response in a cell-type-specific manner
      Python
      GNU General Public License v3.0
      0000Updated Jun 22, 2024Jun 22, 2024
    • The code for running the analysis component of CSI-Microbe
      Python
      3900Updated Jan 3, 2024Jan 3, 2024
    • SAHMI

      Public
      SAHMI fork for CSI-Microbes comparison
      R
      Other
      12000Updated Dec 27, 2023Dec 27, 2023
    • Snakemake rules written for RNA-seq
      Python
      1000Updated Nov 27, 2023Nov 27, 2023
    • Utilizing single-cell omics from patients tumor to predict response and resistance.
      156041Updated Apr 25, 2023Apr 25, 2023
    • Identifying drug targets by integrating large-scale drug and genetic screens.
      HTML
      2010Updated Mar 3, 2023Mar 3, 2023
    • R
      0000Updated Feb 11, 2023Feb 11, 2023
    • madhitter

      Public
      Python
      GNU General Public License v3.0
      0900Updated Jan 9, 2023Jan 9, 2023
    • car22-hlh

      Public
      Code to reproduce analysis for 'Biomarkers Associated with Hemophagocytic Lymphohistiocytosis-Like Toxicities Provide Novel Insights into CD22 CAR T-Cell Inflammatory Responses'. Lichtenstein et al., 2020
      Python
      GNU General Public License v3.0
      1000Updated Mar 8, 2022Mar 8, 2022
    • gembox

      Public
      In-house toolbox for genome-scale metabolic modeling (GEM) for the Ruppin lab
      R
      GNU General Public License v3.0
      5000Updated Mar 2, 2022Mar 2, 2022
    • Framework to build, evaluate, select, and compare ML classification and regression models using high-dimensional biological data and other covariates
      Python
      GNU General Public License v3.0
      1000Updated Feb 21, 2022Feb 21, 2022
    • Framework to build, evaluate, select, and compare ML survival analysis models using high-dimensional biological data and other covariates
      Python
      GNU General Public License v3.0
      1100Updated Feb 21, 2022Feb 21, 2022
    • scikit-learn extensions
      Python
      GNU General Public License v3.0
      1000Updated Feb 21, 2022Feb 21, 2022
    • Metabolic modeling of SARS-CoV-2 infection and antiviral target prediction
      R
      2200Updated Dec 21, 2021Dec 21, 2021
    • scikit-survival extensions
      Python
      GNU General Public License v3.0
      1000Updated Dec 16, 2021Dec 16, 2021
    • HTML
      1300Updated Dec 15, 2021Dec 15, 2021
    • Rcplex2

      Public
      Adding minor functions to the CRAN Rcplex package
      Shell
      7100Updated Nov 22, 2021Nov 22, 2021
    • aml-2019

      Public
      Reproducible analysis in collaboration with Ani Deshpande Lab
      0000Updated Nov 15, 2021Nov 15, 2021
    • Our study systematically charts and points to the potential selection of specific cancer drivers mutation during CRISPR-Cas9 gene editing.
      HTML
      0100Updated Sep 6, 2021Sep 6, 2021
    • apa_lung

      Public
      HTML
      0000Updated Jun 22, 2021Jun 22, 2021
    • Python
      1210Updated May 10, 2021May 10, 2021
    • scSigR-1

      Public
      Generate signature matrix from single cell data.
      R
      MIT License
      7000Updated Apr 13, 2021Apr 13, 2021
    • scSigR

      Public
      Generate signature matrix from single cell data.
      R
      MIT License
      7820Updated Apr 13, 2021Apr 13, 2021
    • Identification of ACE2 expression-modulating drugs
      R
      2100Updated Jun 15, 2020Jun 15, 2020
    • R markdown scripts containing analyses aimed at identifying the relative contribution of EGFR mutant status and TMB to immunotherapy response
      0200Updated Jun 14, 2020Jun 14, 2020
    • The following repository contains the R code to simulate 4 single cell RNASeq datasets that were used to test the performance of deconvolution
      0200Updated Mar 20, 2020Mar 20, 2020