DOSE: Disease Ontology Semantic and Enrichment analysis

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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.

DOSE is released within the Bioconductor project and the source code is hosted in GitHub.


Guangchuang Yu, School of Public Health, The University of Hong Kong.


Please cite the following article when using DOSE:

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Yu G, Wang L, Yan G and He QY*. DOSE: an R/Bioconductor package for Disease Ontology Semantic and Enrichment analysis. Bioinformatics, 2015, 31(4):608-609.

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Install DOSE is easy, follow the guide in the Bioconductor page:

## try http:// if https:// URLs are not supported
## biocLite("BiocUpgrade") ## you may need this


Semantic similarity measurement

Enrichment Analysis


Find out details and examples on Documentation.

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