To install this package, start R and enter:

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

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

GOSemSim

GO-terms Semantic Similarity Measures

Bioconductor version: Release (3.0)

Implemented five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively for estimating GO semantic similarities. Support many species, including Anopheles, Arabidopsis, Bovine, Canine, Chicken, Chimp, Coelicolor, E coli strain K12 and Sakai, Fly, Gondii, Human, Malaria, Mouse, Pig, Rhesus, Rat, Worm, Xenopus, Yeast, and Zebrafish.

Author: Guangchuang Yu

Maintainer: Guangchuang Yu <guangchuangyu at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("GOSemSim")

 

PDF R Script An introduction to GOSemSim
PDF   Reference Manual
Text   NEWS

Details

biocViews Clustering, GO, Network, Pathways, Software
Version 1.24.1
In Bioconductor since BioC 2.4 (R-2.9)
License Artistic-2.0
Depends R (>= 3.0.0)
Imports Rcpp, AnnotationDbi, GO.db
Suggests DOSE, clusterProfiler, org.Hs.eg.db, ChIPseeker, ReactomePA, BiocInstaller, knitr
System Requirements
URL https://github.com/GuangchuangYu/GOSemSim
Depends On Me tRanslatome
Imports Me clusterProfiler, DOSE, Rcpi
Suggests Me ChIPseeker, ReactomePA, SemDist

Package Archives

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

Package Source GOSemSim_1.24.1.tar.gz
Windows Binary GOSemSim_1.24.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) GOSemSim_1.24.1.tgz
Mac OS X 10.9 (Mavericks) GOSemSim_1.24.1.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center