To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("FGNet")

In most cases, you don't need to download the package archive at all.

FGNet

Functional gene networks derived from biological enrichment analyses

Bioconductor version: 2.13

Build and visualize functional gene networks from clustering of enrichment analyses in multiple annotation spaces. The package includes an interface to perform the analysis through David and GeneTerm Linker.

Author: Sara Aibar, Celia Fontanillo, Conrad Droste and Javier De Las Rivas. Bioinformatics and Functional Genomics Group. Cancer Research Center (CiC-IBMCC, CSIC/USAL). Salamanca. Spain.

Maintainer: Sara Aibar <saibar at usal.es>

Citation (from within R, enter citation("FGNet")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("FGNet")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("FGNet")

 

PDF R Script FGNet
PDF   Reference Manual
Text   NEWS

Details

biocViews Annotation, GO, GeneSetEnrichment, NetworkVisualization, Networks, Pathways, Software
Version 1.2.2
In Bioconductor since BioC 2.13 (R-3.0)
License GPL (>= 2)
Depends R (>= 2.15)
Imports igraph (>= 0.6), RCurl, hwriter, R.utils, XML
Suggests RUnit, BiocGenerics, org.Sc.sgd.db
System Requirements
URL http://gtlinker.cnb.csic.es
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source FGNet_1.2.2.tar.gz
Windows Binary FGNet_1.2.2.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) FGNet_1.2.2.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center