This is a test version of Biostars. For the public version, visit https://www.biostars.org.
Tool: DOSE: an R/Bioconductor package for Disease Ontology Semantic and Enrichment analysis

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.

Homepage: https://guangchuangyu.github.io/DOSE/

Documentation: https://guangchuangyu.github.io/DOSE/documentation/

Issue/Question: https://guangchuangyu.github.io/DOSE/#feedback

Citation

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. doi:10.1093/bioinformatics/btu684

Example

http://dx.doi.org/10.1039/C5MB00663E

r visualization bioconductor gsea dose

0 answers

No answers yet.

Log in to answer this question.