Python library to handle Gene Ontology (GO) terms
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Updated
May 28, 2025 - Python
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
Flexible gene set enrichment analysis
This package implements the Ensemble of Gene Set Enrichment Analyses (EGSEA) method for gene set testing.
A library for differential expression and gene set enrichment analysis based on hydra and pydantic.
Package to gather gene information, annotations, and functions
Integration of pathway-related information from MSigDB in BEL
AskoR pipeline: analysis of gene expression data, using edgeR.
Assessing dIfferential expression, dispersion, distribution analyses on TCGA tumour-normal RNA-seq datasets
Testing, development environment for a new project of KN BIBS
Experimental version of data package associated with chipenrich
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