DOSE: an R/Bioconductor package for disease ontology semantic and enrichment analysis.
Bioinformatics
; 31(4): 608-9, 2015 Feb 15.
Article
em En
| MEDLINE
| ID: mdl-25677125
ABSTRACT
SUMMARY:
Disease ontology (DO) annotates human genes in the context of disease. DO is important annotation in translating molecular findings from high-throughput data to clinical relevance. DOSE is an R package providing semantic similarity computations among DO terms and genes which allows biologists to explore the similarities of diseases and of gene functions in disease perspective. Enrichment analyses including hypergeometric model and gene set enrichment analysis are also implemented to support discovering disease associations of high-throughput biological data. This allows biologists to verify disease relevance in a biological experiment and identify unexpected disease associations. Comparison among gene clusters is also supported. AVAILABILITY AND IMPLEMENTATION DOSE is released under Artistic-2.0 License. The source code and documents are freely available through Bioconductor (http//www.bioconductor.org/packages/release/bioc/html/DOSE.html). SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online. CONTACT gcyu@connect.hku.hk or tqyhe@jnu.edu.cn.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Semântica
/
Linguagens de Programação
/
Software
/
Doença
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Biologia Computacional
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Ontologia Genética
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Bioinformatics
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2015
Tipo de documento:
Article