DavisLaboratory/vissE: Visualising Set Enrichment Analysis Results

This package enables the interpretation and analysis of results from a gene set enrichment analysis using network-based and text-mining approaches. Most enrichment analyses result in large lists of significant gene sets that are difficult to interpret. Tools in this package help build a similarity-based network of significant gene sets from a gene set enrichment analysis that can then be investigated for their biological function using text-mining approaches.

Getting started

Package details

Bioconductor views GeneExpression GeneSetEnrichment Network NetworkEnrichment Software
URL https://davislaboratory.github.io/vissE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
DavisLaboratory/vissE documentation built on July 2, 2023, 9:40 p.m.