FGNet
Functional Gene Networks derived from biological enrichment analyses
Bioconductor version: 3.24 · Package version: 3.47.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("FGNet")Details
| Maintainer | Sara Aibar <saibar@usal.es> |
| Author | Sara Aibar, Celia Fontanillo, Conrad Droste and Javier De Las Rivas. |
| License | GPL (>= 2) |
| URL | http://www.cicancer.org |
| Downloads rank | 594 |
| Source branch | devel |
| biocViews | Annotation, Clustering, FunctionalGenomics, GO, GeneSetEnrichment, Network, NetworkEnrichment, Pathways, Software, Visualization |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | FGNet_3.47.0.tar.gz |
| Windows binary (x86_64) | FGNet_3.47.0.zip |
| macOS binary (arm64) | FGNet_3.47.0.tgz |
| macOS binary (x86_64) | FGNet_3.47.0.tgz |
Dependencies
Depends: R (>= 4.2.0)
Imports: igraph (>= 0.6), hwriter, R.utils, XML, plotrix, reshape2, RColorBrewer, png, methods, stats, utils, graphics, grDevices
Suggests: RCurl, gage, topGO, GO.db, reactome.db, RUnit, BiocGenerics, org.Sc.sgd.db, knitr, rmarkdown, AnnotationDbi, BiocManager
Reverse dependencies
Imports Me (1): IntramiRExploreR