To install this package, start R and enter:

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

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

GOFunction

 

GO-function: deriving biologcially relevant functions from statistically significant functions

Bioconductor version: Release (3.1)

The GO-function package provides a tool to address the redundancy that result from the GO structure or multiple annotation genes and derive biologically relevant functions from the statistically significant functions based on some intuitive assumption and statistical testing.

Author: Jing Wang <jingwang.uestc at gmail.com>

Maintainer: Jing Wang <jingwang.uestc at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("GOFunction")

 

PDF R Script GO-function
PDF   Reference Manual

Details

biocViews GO, GeneSetEnrichment, Microarray, Pathways, Software
Version 1.16.0
In Bioconductor since BioC 2.9 (R-2.14) (4 years)
License GPL (>= 2)
Depends R (>= 2.11.0), methods, Biobase(>= 2.8.0), graph(>= 1.26.0), Rgraphviz(>= 1.26.0), GO.db(>= 2.4.1), AnnotationDbi(>= 1.10.2), SparseM (>= 0.85)
Imports methods, Biobase, graph, Rgraphviz, GO.db, AnnotationDbi, SparseM
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Package Archives

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

Package Source GOFunction_1.16.0.tar.gz
Windows Binary GOFunction_1.16.0.zip
Mac OS X 10.6 (Snow Leopard) GOFunction_1.16.0.tgz
Mac OS X 10.9 (Mavericks) GOFunction_1.16.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GOFunction/tree/release-3.1
Package Short Url http://bioconductor.org/packages/GOFunction/
Package Downloads Report Download Stats

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