GOFunction

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

Bioconductor version: Release (2.12)

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: Zheng Guo <guoz at ems.hrbmu.edu.cn>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("GOFunction")

Documentation

PDF	R Script	GO-function
PDF		Reference Manual

Details

biocViews	GO, GeneSetEnrichment, Microarray, Pathways, Software
Version	1.6.0
In Bioconductor since	BioC 2.9 (R-2.14)
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 Downloads

Package Source	GOFunction_1.6.0.tar.gz
Windows Binary	GOFunction_1.6.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	GOFunction_1.6.0.tgz
Package Downloads Report	Download Stats

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