Predicting drug-disease interactions by semi-supervised graph cut algorithm and three-layer data integration

BACKGROUND: Prediction of drug-disease interactions is promising for either drug repositioning or disease treatment fields. The discovery of novel drug-disease interactions, on one hand can help to find novel indictions for the approved drugs; on the other hand can provide new therapeutic approaches...

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Detalles Bibliográficos
Autores principales: Wu, Guangsheng, Liu, Juan, Wang, Caihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751445/
https://www.ncbi.nlm.nih.gov/pubmed/29297383
http://dx.doi.org/10.1186/s12920-017-0311-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751445/
https://www.ncbi.nlm.nih.gov/pubmed/29297383
http://dx.doi.org/10.1186/s12920-017-0311-0

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