To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("neaGUI")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
neaGUI is an easy to use R package developed to perform the network enrichment analysis (NEA) proposed by Alexeyenko et al. (2012). The NEA method extends the overlap statistics in GSEA to network links between genes in the experimental set and those in the functional categories by exploiting biological information in terms of gene interaction network. The neaGUI requires the following R packages: tcltk, KEGG.db, GO.db, reactome.db, org.Hs.eg.db, AnnotationDbi, and hwriter.
Author: Setia Pramana
Maintainer: Setia Pramana <setia.pramana at ki.se>
Citation (from within R,
enter citation("neaGUI")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("neaGUI")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("neaGUI")
R Script | neaGUI Vignette | |
Reference Manual |
biocViews | DifferentialExpression, GUI, Microarray, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 2.13 (R-3.0) |
License | GPL-2 |
Depends | tcltk |
Imports | hwriter |
Suggests | AnnotationDbi, org.Hs.eg.db, KEGG.db, GO.db, reactome.db, RUnit, GOstats, hwriter |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | neaGUI_1.0.0.tar.gz |
Windows Binary | neaGUI_1.0.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | neaGUI_1.0.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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