DOI: 10.18129/B9.bioc.FGNet    

Functional Gene Networks derived from biological enrichment analyses

Bioconductor version: Release (3.6)

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>

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biocViews Annotation, Clustering, FunctionalGenomics, GO, GeneSetEnrichment, Network, NetworkEnrichment, Pathways, Software, Visualization
Version 3.12.0
In Bioconductor since BioC 2.13 (R-3.0) (4.5 years)
License GPL (>= 2)
Depends R (>= 2.15)
Imports igraph (>= 0.6), hwriter, R.utils, XML, plotrix, reshape2, RColorBrewer, png
Suggests RGtk2, RCurl, RDAVIDWebService, gage, topGO, KEGGprofile, GO.db, KEGG.db, reactome.db, RUnit, BiocGenerics, org.Sc.sgd.db, knitr, rmarkdown, AnnotationDbi
URL http://www.cicancer.org
Depends On Me
Imports Me IntramiRExploreR
Suggests Me
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Source Package FGNet_3.12.0.tar.gz
Windows Binary FGNet_3.12.0.zip
Mac OS X 10.11 (El Capitan) FGNet_3.12.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/FGNet
Package Short Url http://bioconductor.org/packages/FGNet/
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