Bioconductor version: Release (3.13)
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]
Maintainer: Dharmesh D. Bhuva <bhuva.d at wehi.edu.au>
Citation (from within R,
enter citation("vissE")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("vissE")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("vissE")
HTML | R Script | vissE |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, GeneSetEnrichment, Network, NetworkEnrichment, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (< 6 months) |
License | GPL-3 |
Depends | R (>= 4.1) |
Imports | igraph, methods, plyr, ggplot2, ggnewscale, scico, RColorBrewer, tm, ggwordcloud, GSEABase, reshape2, grDevices, ggforce, msigdb, Matrix, ggrepel, textstem |
LinkingTo | |
Suggests | testthat, org.Hs.eg.db, org.Mm.eg.db, ggpubr, singscore, knitr, rmarkdown, prettydoc, BiocStyle |
SystemRequirements | |
Enhances | |
URL | https://davislaboratory.github.io/vissE |
BugReports | https://github.com/DavisLaboratory/vissE/issues |
Depends On Me | |
Imports Me | |
Suggests Me | msigdb |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | vissE_1.0.0.tar.gz |
Windows Binary | vissE_1.0.0.zip |
macOS 10.13 (High Sierra) | vissE_1.0.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/vissE |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/vissE |
Package Short Url | https://bioconductor.org/packages/vissE/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: