This is the released version of FGNet; for the devel version, see FGNet.
Functional Gene Networks derived from biological enrichment analysesBioconductor version: Release (3.21)
Build and visualize functional gene and term networks from clustering of enrichment analyses in multiple annotation spaces. The package includes a graphical user interface (GUI) and functions to perform the functional enrichment analysis through DAVID, GeneTerm Linker, gage (GSEA) and topGO.
Author: Sara Aibar, Celia Fontanillo, Conrad Droste and Javier De Las Rivas.
Maintainer: Sara Aibar <saibar at usal.es>
Citation (from within R, entercitation("FGNet")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("FGNet")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("FGNet")
Details biocViews Annotation, Clustering, FunctionalGenomics, GO, GeneSetEnrichment, Network, NetworkEnrichment, Pathways, Software, Visualization Version 3.42.0 In Bioconductor since BioC 2.13 (R-3.0) (11.5 years) License GPL (>= 2) Depends R (>= 4.2.0) Imports igraph (>= 0.6), hwriter, R.utils, XML, plotrix, reshape2, RColorBrewer, png, methods, stats, utils, graphics, grDevices System Requirements URL http://www.cicancer.org See More Suggests RCurl, gage, topGO, GO.db, reactome.db, RUnit, BiocGenerics, org.Sc.sgd.db, knitr, rmarkdown, AnnotationDbi, BiocManager Linking To Enhances Depends On Me Imports Me IntramiRExploreR Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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