Reactome Pathway Analysis
-
Updated
May 15, 2024 - R
Reactome Pathway Analysis
📊 A universal enrichment tool for interpreting omics data
Visualization of Functional Enrichment Result
🩺 MeSH Enrichment and Semantic analyses
😷 Disease Ontology Semantic and Enrichment analysis
A set of Shiny apps to provide interactive enrichment analysis and exploration of results.
Python package to perform enrichment analysis from omics data.
HARE: Genetic Feature Enrichment Analysis Pipeline
Gene Set Enrichment Analysis in Python
Multi-Scale Target Explorer systematically identifies, prioritises, and visualises cell-type-specific gene therapy targets across the phenome.
In Press, GigaScience. Web app for post-GWAS/QTL analysis that performs a slew of novel bioinformatics analyses to cross-reference GWAS/QTL mapping results with a host of publicly available rice databases
Function Enrichment analysis and Network construction
Multi-omics analysis of LFQ proteomics and transcriptomics of an ALMS1 gene knockout cell model after TGF-B pathway stimulation.
Code, data and results associated with the "Rare diseases cell-typing" project.
mulea - an R package for enrichment analysis using various ontologies and empirical FDR correction
rbioapi: User-Friendly R Interface to Biologic Web Services' API
muleaData is an ExperimentHubData Bioconductor package for the mulea R package
LORA: Lipid Over-Representation Analysis
Add a description, image, and links to the enrichment-analysis topic page so that developers can more easily learn about it.
To associate your repository with the enrichment-analysis topic, visit your repo's landing page and select "manage topics."