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

Bioconductor version: Release (2.14)

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>

Maintainer: Jing Wang <jingwang.uestc at>

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PDF R Script GO-function
PDF   Reference Manual


biocViews GO, GeneSetEnrichment, Microarray, Pathways, Software
Version 1.12.0
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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