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GOSemSim

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, Human, Malaria, Mouse, Pig, Rhesus, Rat, Worm, Xenopus, Yeast, and Zebrafish.

Authors

Guangchuang YU, School of Public Health, The University of Hong Kong http://ygc.name

Citation

Please cite the following article when using GOSemSim:

Yu G, Li F, Qin Y, Bo X, Wu Y and Wang S. 
GOSemSim: an R package for measuring semantic similarity among GO terms and gene products.
Bioinformatics, 2010, 26(7):976-978. 

URL: http://bioinformatics.oxfordjournals.org/content/26/7/976.full

License

All source code is copyright, under the Artistic-2.0 License. For more information on Artistic-2.0 License see http://opensource.org/licenses/Artistic-2.0

Installation

To install:

  • the latest released version: biocLite("GOSemSim")
  • the latest development version: install_github("GuangchuangYu/GOSemSim")

Find out more at http://www.bioconductor.org/packages/release/bioc/html/GOSemSim.html and check out the vignette.

External documents

Bugs/Feature requests

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Version

Version

1.28.1

License

Artistic-2.0

Issues

Pull Requests

Stars

Forks

Maintainer

Guangchuang Yu

Last Published

February 15th, 2017

Functions in GOSemSim (1.28.1)

infoContentMethod

information content based methods
goSim

Semantic Similarity Between Two GO Terms
IC

Information content of GO terms
termSim

termSim
wangMethod

wangMethod
loadGOMap

loadGOMap
getDb

getDb
geneSim

Semantic Similarity Between two Genes
clusterSim

Semantic Similarity Between Two Gene Clusters
combineScores

combining similarity matrix to similarity score
mgeneSim

Pairwise Semantic Similarity for a List of Genes
mgoSim

Semantic Similarity Between two GO terms lists
getSupported_Org

getSupported_Org
loadICdata

Load IC data
GOSemSim-package

Gene Ontology-based Sematic Similarity Measures
mclusterSim

Pairwise Semantic Similarities for a List of Gene Clusters