To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GOSim")

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

GOSim

DOI: 10.18129/B9.bioc.GOSim

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

Bioconductor version: Release (3.5)

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:

## try http:// if https:// URLs are not supported
source("https://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 1.14.0
In Bioconductor since BioC 2.13 (R-3.0) (4 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.

Source Package GOSim_1.14.0.tar.gz
Windows Binary GOSim_1.14.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) GOSim_1.14.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GOSim
Package Short Url http://bioconductor.org/packages/GOSim/
Package Downloads Report Download Stats

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