GOSemSim: GO semantic similarity measurement ============================================ [](https://bioconductor.org/packages/GOSemSim) [](https://github.com/guangchuangyu/GOSemSim) [](https://www.bioconductor.org/packages/devel/bioc/html/GOSemSim.html#since) [](https://bioconductor.org/packages/stats/bioc/GOSemSim) [](https://bioconductor.org/packages/stats/bioc/GOSemSim) [](http://www.repostatus.org/#active) [](https://codecov.io/gh/GuangchuangYu/GOSemSim/) [](https://github.com/GuangchuangYu/GOSemSim/commits/master) [](https://www.bioconductor.org/packages/devel/bioc/html/GOSemSim.html#svn_source) [](https://github.com/GuangchuangYu/GOSemSim/network) [](https://github.com/GuangchuangYu/GOSemSim/stargazers) [](https://www.bioconductor.org/packages/devel/bioc/html/GOSemSim.html#archives) [](https://bioconductor.org/checkResults/devel/bioc-LATEST/GOSemSim/) [](https://travis-ci.org/GuangchuangYu/GOSemSim) [](https://ci.appveyor.com/project/GuangchuangYu/GOSemSim) The semantic comparisons of Gene Ontology (GO) annotations provide quantitative ways to compute similarities between genes and gene groups, and have became important basis for many bioinformatics analysis approaches. `GOSemSim` is an R package for semantic similarity computation among GO terms, sets of GO terms, gene products and gene clusters. `GOSemSim` implemented five methods proposed by *Resnik*, *Schlicker*, *Jiang*, *Lin* and *Wang* respectively. [](https://twitter.com/intent/tweet?hashtags=GOSemSim&url=http://bioinformatics.oxfordjournals.org/content/26/7/976&screen_name=guangchuangyu) ------------------------------------------------------------------------ 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. [](http://dx.doi.org/10.1093/bioinformatics/btq064) [](https://www.altmetric.com/details/100979) [](https://scholar.google.com.hk/scholar?oi=bibs&hl=en&cites=9484177541993722322) [](http://apps.webofknowledge.com/InboundService.do?mode=FullRecord&customersID=RID&IsProductCode=Yes&product=WOS&Init=Yes&Func=Frame&DestFail=http%3A%2F%2Fwww.webofknowledge.com&action=retrieve&SrcApp=RID&SrcAuth=RID&SID=Y2CXu6nry8nDQZcUy1w&UT=WOS%3A000276045800023) ------------------------------------------------------------------------ For details, please visit our project website, <https://guangchuangyu.github.io/GOSemSim>. - [Documentation](https://guangchuangyu.github.io/GOSemSim/documentation/) - [Featured Articles](https://guangchuangyu.github.io/GOSemSim/featuredArticles/) - [Feedback](https://guangchuangyu.github.io/GOSemSim/#feedback) ### Citation [](https://scholar.google.com.hk/scholar?oi=bibs&hl=en&cites=9484177541993722322) [](http://apps.webofknowledge.com/InboundService.do?mode=FullRecord&customersID=RID&IsProductCode=Yes&product=WOS&Init=Yes&Func=Frame&DestFail=http%3A%2F%2Fwww.webofknowledge.com&action=retrieve&SrcApp=RID&SrcAuth=RID&SID=Y2CXu6nry8nDQZcUy1w&UT=WOS%3A000276045800023) +-+--------------+-------------+-------------+----------+ | * | | | 60 + + | | | * * | 40 + * + | * | | | | | 20 + + | * | | * * | +-+--------------+-------------+-------------+----------+ 2010 2012 2014 2016 ### Download stats [](https://bioconductor.org/packages/stats/bioc/GOSemSim/) [](https://bioconductor.org/packages/stats/bioc/GOSemSim) [](https://bioconductor.org/packages/stats/bioc/GOSemSim) +-------------+-------------------+--------------------+--------------------+-----------------+ | * | | | 3000 + + | | | * * | | * | | * * | | ** | 2000 + * + | * | | * | | * * | | * * | | ** * ** | | * * | 1000 + * * ** *** + | **** ** * | | * * ** **** * | | * ** ** ** | | * ******* * ** * * * | | **** * * ********* ****** * * | 0 + *** + +-------------+-------------------+--------------------+--------------------+-----------------+ 2010 2012 2014 2016