vissE
vissE enables the interpretation and analysis of results from a gene set enrichment analysis using network-based and text-mining approaches.
Key Features:
- Similarity-based network construction: Builds a similarity-based network of significant gene sets from a gene set enrichment analysis.
- Text-mining for biological function: Investigates gene sets for their biological function using text-mining approaches.
Scientific Applications:
- Gene set enrichment analysis interpretation: Addresses the challenge of interpreting large lists of significant gene sets that result from enrichment analyses.
- Biological function investigation: Enables investigation of biological function of significant gene sets through integrated network and text-mining analysis.
Methodology:
vissE uses network-based approaches to build similarity-based networks of significant gene sets and text-mining approaches to investigate biological function.
Collections
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 9/1/2026
- Last Updated:
- 9/1/2026
Operations
Publications
Documentation
User manual
https://bioconductor.org/packages/vissEDownloads
- Source codehttps://davislaboratory.github.io/vissE