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⛳ GO-terms Semantic Similarity Measures
YuLab-SMU/GOSemSim
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The semantic comparisons of Gene Ontology (GO) annotations providequantitative ways to compute similarities between genes and gene groups,and have became important basis for many bioinformatics analysisapproaches. GOSemSim is an R package for semantic similarity computationamong GO terms, sets of GO terms, gene products and gene clusters.GOSemSim implemented five methods proposed by Resnik, Schlicker, Jiang,Lin and Wang respectively.
Guangchuang YUhttps://yulab-smu.top
School of Basic Medical Sciences, Southern Medical University
Learn more athttps://yulab-smu.top/contribution-knowledge-mining/.
If you useGOSemSim inpublished research, please cite:
- Yu G.Gene Ontology Semantic Similarity Analysis UsingGOSemSim. In:Kidder B. (eds) Stem Cell Transcriptional Networks.Methods inMolecular Biology, 2020, 2117:207-215. Humana, New York, NY.
- Yu G#, Li F#, Qin Y, Bo X*, WuY and Wang S*.GOSemSim: an R package for measuringsemantic similarity among GO terms and geneproducts.Bioinformatics. 2010, 26(7):976-978.
Get the released version from Bioconductor:
## try http:// if https:// URLs are not supportedif (!requireNamespace("BiocManager",quietly=TRUE)) install.packages("BiocManager")## BiocManager::install("BiocUpgrade") ## you may need thisBiocManager::install("GOSemSim")
Or the development version from github:
## install.packages("remotes")remotes::install_github("YuLab-SMU/GOSemSim")
We welcome any contributions! By participating in this project you agreeto abide by the terms outlined in theContributor Code ofConduct.
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⛳ GO-terms Semantic Similarity Measures
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