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.
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")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("FGNet")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("FGNet")
R Script | FGNet | |
Reference Manual | ||
Text | NEWS |
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 |
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 |
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