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

Bioconductor version: Development (3.0)

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>

To install this package, start R and enter:


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


PDF R Script GO-function
PDF   Reference Manual


biocViews GO, GeneSetEnrichment, Microarray, Pathways, Software
Version 1.13.0
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
System Requirements
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source GOFunction_1.13.0.tar.gz
Windows Binary GOFunction_1.13.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) GOFunction_1.13.0.tgz
Mac OS X 10.9 (Mavericks) GOFunction_1.13.0.tgz
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