# GOSemSim: GO semantic similarity measurement
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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.
For details, please visit our project website,
<https://guangchuangyu.github.io/software/GOSemSim>.
- [Documentation](https://guangchuangyu.github.io/software/GOSemSim/documentation/)
- [Featured
Articles](https://guangchuangyu.github.io/software/GOSemSim/featuredArticles/)
- [Feedback](https://guangchuangyu.github.io/software/GOSemSim/#feedback)
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Please cite the following article when using `GOSemSim`:
**Yu G**<sup>†</sup>, Li F<sup>†</sup>, Qin Y, Bo X<sup>\*</sup>, Wu Y
and Wang S<sup>\*</sup>. 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)
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## Authors
Guangchuang YU <https://guangchuangyu.github.io>
School of Basic Medical Sciences, Southern Medical
University
### Citation
<img src="https://guangchuangyu.github.io/software/GOSemSim/featured-articles/index_files/figure-html/citation-1.png" width="890"/>
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