To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

GOSim

 

Computation of functional similarities between GO terms and gene products; GO enrichment analysis

Bioconductor version: Release (3.1)

This package implements several functions useful for computing similarities between GO terms and gene products based on their GO annotation. Moreover it allows for computing a GO enrichment analysis

Author: Holger Froehlich <frohlich at bit.uni-bonn.de>

Maintainer: Holger Froehlich <frohlich at bit.uni-bonn.de>

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

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GOSim")

 

PDF R Script GOsim
PDF   Reference Manual

Details

biocViews Clustering, GO, Pathways, Software
Version 1.6.0
In Bioconductor since BioC 2.13 (R-3.0) (2 years)
License GPL (>= 2)
Depends GO.db, annotate
Imports org.Hs.eg.db, AnnotationDbi, topGO, cluster, flexmix, RBGL, graph, Matrix, corpcor, Rcpp
LinkingTo Rcpp
Suggests
SystemRequirements
Enhances igraph
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source GOSim_1.6.0.tar.gz
Windows Binary GOSim_1.6.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) GOSim_1.6.0.tgz
Mac OS X 10.9 (Mavericks) GOSim_1.6.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GOSim/tree/release-3.1
Package Short Url http://bioconductor.org/packages/GOSim/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center