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.
Package details |
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Bioconductor views | GeneExpression GeneSetEnrichment Network NetworkEnrichment Software |
Maintainer | |
License | GPL-3 |
Version | 1.11.1 |
URL | https://davislaboratory.github.io/vissE |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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