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YuLab-SMU / DOSE

:mask: Disease Ontology Semantic and Enrichment analysis
https://yulab-smu.top/biomedical-knowledge-mining-book/
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disease-ontology enrichment-analysis semantic-similarity

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DOSE: Disease Ontology Semantic and Enrichment analysis

Bioc codecov

Project Status: Active - The project has reached a stable, usable state and is being actively developed. platform Build Status

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.

:writing_hand: Authors

Guangchuang YU https://yulab-smu.top

School of Basic Medical Sciences, Southern Medical University

Learn more at https://yulab-smu.top/contribution-knowledge-mining/.

Please cite the following article when using DOSE:

Guangchuang Yu, Li-Gen Wang, Guang-Rong Yan, Qing-Yu He. DOSE: an R/Bioconductor package for Disease Ontology Semantic and Enrichment analysis. Bioinformatics. 2015, 31(4):608-609.