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

Bioconductor version: 2.9

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>

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PDF R Script GO-function
PDF   Reference Manual


biocViews Bioinformatics, GO, Pathways, Microarray
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
License GPL (>= 2)
Depends On Me
Imports Me
Suggests Me
Version 1.0.0
Since Bioconductor 2.9 (R-2.14)

Package Downloads

Package Source GOFunction_1.0.0.tar.gz
Windows Binary GOFunction_1.0.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary GOFunction_1.0.0.tgz
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