README.md
In YuLab-SMU/DOSE: Disease Ontology Semantic and Enrichment analysis
DOSE: 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.
: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.
YuLab-SMU/DOSE documentation built on Aug. 13, 2024, 6:09 p.m.
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DOSE: 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.
: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.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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