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Report abuseFramework to build, evaluate, select, and compare ML classification and regression models using high-dimensional biological data and other covariates
Framework to build, evaluate, select, and compare ML survival analysis models using high-dimensional biological data and other covariates
A fast, efficient, and accurate functional and taxonomic meta-omic profiler built on Pufferfish and the ccdBG
Python
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 2…
Kraken2 + Bracken based pipeline for classifying and quantifying microbial reads from GDC TCGA WGS data
Python 1
STAR + edgeR/DESeq2/limma-voom + GSEA RNA-seq gene expression analysis workflow
Python
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