GSEApy — Gene Set Enrichment Analysis in Python
Overview
GSEApy provides Python implementations of GSEA and over-representation analysis (ORA) for interpreting gene expression changes at the pathway level. The enrich module queries the Enrichr API to test a gene list against 200+ databases (GO, KEGG, MSigDB Hallmarks, Reactome, WikiPathways). The prerank and gsea modules run the GSEA algorithm on a pre-ranked gene list or expression matrix — computing normalized enrichment scores (N
[Description truncada. Veja o README completo no GitHub.]