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

Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq

MSigDB gene sets for multiple organisms in a tidy data format

Enrichment Networks for Pathway Enrichment Analysis

Lightweight Iterative Gene set Enrichment in R

Julia implementation of the next generation GSEA 🏔️

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

Molecular Signatures Database (MSigDB) in a tidy data frame

Gene Set Clustering based on Functional annotation

Take command of your set enrichment analyses.

Gene Set Enrichment Analysis and Over Representation Analysis analysis using R

Function Enrichment analysis and Network construction

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

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

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

Comprehensive Single-Cell Annotation and Transcriptomic Analysis Toolkit

Course material for Enrichment analysis course by SIB