Python library to handle Gene Ontology (GO) terms
Gene set variation analysis
Differential expression analysis for single-cell RNA-seq data.
A Snakemake workflow and MrBiomics module for performing genomic region set and gene set enrichment analyses using LOLA, GREAT, GSEApy, pycisTarget and RcisTarget.
Julia implementation of the next generation GSEA 🏔️
mulea - an R package for enrichment analysis using various ontologies and empirical false discovery rate
Gene Set Clustering based on Functional annotation
A Tidy Framework to Hack Gene Expression Signatures
Pandas API for multiple Gene Set Enrichment Analysis implementations in Python (GSEApy, cudaGSEA, GSEA)
piano - An R/Bioconductor package for gene set analysis
This package implements the Ensemble of Gene Set Enrichment Analyses (EGSEA) method for gene set testing.
Flexible gene set enrichment analysis
Package to gather gene information, annotations, and functions
Continuous enrichment profiling for transcriptomes. Characterise how functional programmes are distributed across the expression gradient, with built-in significance testing for single samples. Great for non-model organisms, clinical isolates, and unreplicated datasets.
A library for differential expression and gene set enrichment analysis based on hydra and pydantic.
AskoR pipeline: analysis of gene expression data, using edgeR.
Integration of pathway-related information from MSigDB in BEL
Experimental version of data package associated with chipenrich
Bayesian tests for set enrichment 🍞
Add a description, image, and links to the gene-set-enrichment topic page so that developers can more easily learn about it.
To associate your repository with the gene-set-enrichment topic, visit your repo's landing page and select "manage topics."