GOFunction

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

Bioconductor version: 2.10

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	Bioinformatics, GO, Microarray, Pathways, Software
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
Suggests
System Requirements
License	GPL (>= 2)
URL
Depends On Me
Imports Me
Suggests Me
Version	1.2.0
Since	Bioconductor 2.9 (R-2.14)

Package Downloads

Package Source	GOFunction_1.2.0.tar.gz
Windows Binary	GOFunction_1.2.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	GOFunction_1.2.0.tgz
Package Downloads Report	Download Stats

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