Compensating for literature annotation bias when predicting novel drug-disease relationships through Medical Subject Heading Over-representation Profile (MeSHOP) similarity

BACKGROUND: Using annotations to the articles in MEDLINE(®)/PubMed(®), over six thousand chemical compounds with pharmacological actions have been tracked since 1996. Medical Subject Heading Over-representation Profiles (MeSHOPs) quantitatively leverage the literature associated with biological enti...

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Detalles Bibliográficos
Autores principales: Cheung, Warren A, Ouellette, BF Francis, Wasserman, Wyeth W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3654871/
https://www.ncbi.nlm.nih.gov/pubmed/23819887
http://dx.doi.org/10.1186/1755-8794-6-S2-S3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3654871/
https://www.ncbi.nlm.nih.gov/pubmed/23819887
http://dx.doi.org/10.1186/1755-8794-6-S2-S3

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