Python library to handle Gene Ontology (GO) terms
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Updated
Jun 29, 2024 - Python
Python library to handle Gene Ontology (GO) terms
Differential expression analysis for single-cell RNA-seq data.
Gene set variation analysis
Gene Set Clustering based on Functional annotation
The official command-line program for gene-set-enrichment analysis (GSEA) 🏔️
A Tidy Framework to Hack Gene Expression Signatures
A Snakemake workflow for performing genomic region set and gene set enrichment analyses using LOLA, GREAT, GSEApy, pycisTarget and RcisTarget.
Pandas API for multiple Gene Set Enrichment Analysis implementations in Python (GSEApy, cudaGSEA, GSEA)
piano - An R/Bioconductor package for gene set analysis
mulea - an R package for enrichment analysis using various ontologies and empirical FDR correction
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.
Integration of pathway-related information from MSigDB in BEL
Experimental version of data package associated with chipenrich
Assessing dIfferential expression, dispersion, distribution analyses on TCGA tumour-normal RNA-seq datasets
AskoR pipeline: analysis of gene expression data, using edgeR.
Package to gather gene information, annotations, and functions
Testing, development environment for a new project of KN BIBS
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