# DOSE: Disease Ontology Semantic and Enrichment analysis [](https://www.bioconductor.org/packages/DOSE) [](https://github.com/guangchuangyu/DOSE) [](https://www.bioconductor.org/packages/devel/bioc/html/DOSE.html#since) [](https://codecov.io/gh/GuangchuangYu/DOSE/) [](http://www.repostatus.org/#active) [](https://www.bioconductor.org/packages/devel/bioc/html/DOSE.html#archives) [](https://bioconductor.org/checkResults/devel/bioc-LATEST/DOSE/) [](https://travis-ci.org/GuangchuangYu/DOSE) [](https://ci.appveyor.com/project/GuangchuangYu/DOSE) This package implements five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively for measuring semantic similarities among DO terms and gene products. Enrichment analyses including hypergeometric model and gene set enrichment analysis are also implemented for discovering disease associations of high-throughput biological data. For details, please visit <https://yulab-smu.top/biomedical-knowledge-mining-book/>. ## :writing_hand: Authors Guangchuang YU <https://yulab-smu.top> School of Basic Medical Sciences, Southern Medical University [](https://twitter.com/intent/tweet?hashtags=clusterProfiler&url=http://online.liebertpub.com/doi/abs/10.1089/omi.2011.0118&screen_name=guangchuangyu) [](https://saythanks.io/to/GuangchuangYu) [](https://guangchuangyu.github.io/blog_images/biobabble.jpg) ------------------------------------------------------------------------ Please cite the following article when using `DOSE`: ***G Yu***, LG Wang, GR Yan, QY He. DOSE: an R/Bioconductor package for Disease Ontology Semantic and Enrichment analysis. ***Bioinformatics*** 2015, 31(4):608-609. [](https://doi.org/10.1093/bioinformatics/btu684) [](https://www.altmetric.com/details/2788597) <!-- ------------------------------------------------------------------------ ### Download stats r badge_download_bioc("DOSE")` r badge_bioc_download("DOSE", "total", "blue")` r badge_bioc_download("DOSE", "month", "blue")` -->