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

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

Abstract 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 ap...

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Bibliographic Details
Main Authors: Guangsheng Wu, Juan Liu, Caihua Wang
Format: Article
Language:English
Published: BMC 2017-12-01
Series:BMC Medical Genomics
Subjects:
Drug-disease interaction
Integration strategy
Similarity
Graph cut
Guilt-by-association
Online Access:http://link.springer.com/article/10.1186/s12920-017-0311-0

Internet

http://link.springer.com/article/10.1186/s12920-017-0311-0

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