Modular toolkit for data analysis pipelines used at Baylor⚕️
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Updated
Jul 21, 2024 - TypeScript
Modular toolkit for data analysis pipelines used at Baylor⚕️
An R package for fast Single-Sample Gene Set Enrichment Analysis (ssGSEA)
Metabolic function-based normalization improves transcriptome data-driven reduction of genome-scale metabolic models.
Survival Analysis through the integration of expression data, phenotype data, and clinical data
A version of Single Sample GSEA adapted to the sparsity of single cell RNA-seq data
As part of the DRPPM-PATH-SURVEIOR family, this pipeline aims to identify top pathways and genes that are significant in High-Risk patients
Survival Analysis through the integration of expression data, phenotype data, and clinical data
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