ssgsea

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Modular toolkit for data analysis pipelines used at Baylor⚕️

gene research genetics genepattern dataanalysis ssgsea

Metabolic function-based normalization improves transcriptome data-driven reduction of genome-scale metabolic models.

gem integration gimme genome-scale-metabolic-model ssgsea

Survival Analysis through the integration of expression data, phenotype data, and clinical data

docker r shiny survival-analysis shiny-apps hazard-ratios cox-regression pathway-analysis ssgsea

Survival Analysis through the integration of expression data, phenotype data, and clinical data

app r shiny survival hazard-ratios cox-regression pathway-analysis ssgsea

As part of the DRPPM-PATH-SURVEIOR family, this pipeline aims to identify top pathways and genes that are significant in High-Risk patients

r rstudio survival-analysis survival cox-regression ssgsea

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