Enables Gene Ontology (and other feature annotation) enrichment calculations and comparisons between feature sets.
-
Updated
Oct 31, 2024 - R
Enables Gene Ontology (and other feature annotation) enrichment calculations and comparisons between feature sets.
A repository for the Playbook Workflow Builder project.
An R package containing tools to prepare, analyze, and visualize named lists of sets, with an emphasis on molecular signatures (such as gene sets).
R wrapper for ermineJ
Evolutionary Transcriptomics with R
Lightweight Iterative Gene set Enrichment in R
Single sample Gene Set Enrichment analysis (ssGSEA) and PTM Enrichment Analysis (PTM-SEA)
Analysis of enrichment of gene sets with a GUI and CLI
A Snakemake workflow for performing genomic region set and gene set enrichment analyses using LOLA, GREAT, GSEApy, pycisTarget and RcisTarget.
BioBombe: Sequentially compressed gene expression features enhances biological signatures
A differential and enrichment analyses pipeline for bulk ATAC-seq (and RNA-seq)
Package to calculate functional similarity between genes https://biocor.llrs.dev
muleaData is an ExperimentHubData Bioconductor package for the mulea R package
💹 The package is user friendly interface based on the cgdsr and other modeling packages to explore, compare, and analyse all available Cancer Data (Clinical data, Gene Mutation, Gene Methylation, Gene Expression, Protein Phosphorylation, Copy Number Alteration) hosted by the Computational Biology Center at Memorial-Sloan-Kettering Cancer Center …
📊 Identify cell types and pathways affected by genetic risk loci.
GMT files for the mulea R package
Web application that enables users to compare the expression of genes or enrichment of gene sets between different molecular subtypes of colorectal cancer
Experimental version of data package associated with chipenrich
A web application for exploring, analyzing, and curating pathway databases
DBRetina python package
Add a description, image, and links to the gene-sets topic page so that developers can more easily learn about it.
To associate your repository with the gene-sets topic, visit your repo's landing page and select "manage topics."