vissE
This is the released version of vissE; for the devel version, see vissE.
Visualising Set Enrichment Analysis Results
Bioconductor version: Release (3.22)
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.
Author: Dharmesh D. Bhuva [aut, cre] ORCID iD ORCID: 0000-0002-6398-9157 , Ahmed Mohamed [ctb]
Maintainer: Dharmesh D. Bhuva <bhuva.d at wehi.edu.au>
citation("vissE")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("vissE")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("vissE")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.