Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes

BACKGROUND: Investigating and understanding drug-drug interactions (DDIs) is important in improving the effectiveness of clinical care. DDIs can occur when two or more drugs are administered together. Experimentally based DDI detection methods require a large cost and time. Hence, there is a great i...

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Detalles Bibliográficos
Autores principales: Hameed, Pathima Nusrath, Verspoor, Karin, Kusljic, Snezana, Halgamuge, Saman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333429/
https://www.ncbi.nlm.nih.gov/pubmed/28249566
http://dx.doi.org/10.1186/s12859-017-1546-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333429/
https://www.ncbi.nlm.nih.gov/pubmed/28249566
http://dx.doi.org/10.1186/s12859-017-1546-7

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