gsea

📊 A universal enrichment tool for interpreting omics data

Gene Set Enrichment Analysis in Python

Single sample Gene Set Enrichment analysis (ssGSEA) and PTM Enrichment Analysis (PTM-SEA)

Brings bulk and pseudobulk transcriptomics to the tidyverse

MSigDB gene sets for multiple organisms in a tidy data format

Lightweight Iterative Gene set Enrichment in R

Differential expression (DE); gene set Enrichment Analysis (GSEA); single cell RNAseq studies (scRNAseq)

Molecular Signatures Database (MSigDB) in a data frame

Take command of your set enrichment analyses.

Gene Set Clustering based on Functional annotation

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A web-based application to perform Gene Set Enrichment Analysis (GSEA) using clusterProfiler and shiny R libraries

Interpretation of RNAseq experiments through robust, efficient comparison to public databases

Gene Set Enrichment Analysis and Over Representation Analysis analysis using R

Flexible gene set enrichment analysis

Pandas API for multiple Gene Set Enrichment Analysis implementations in Python (GSEApy, cudaGSEA, GSEA)

Thermodynamically Motivated Enrichment Analysis (TMEA) is a new approach to gene set enrichment analysis.

Function Enrichment analysis and Network construction

GSEA plots in ggplot2

Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data