Novel deep learning model for more accurate prediction of drug-drug interaction effects

Novel deep learning model for more accurate prediction of drug-drug interaction effects

Abstract Background Predicting the effect of drug-drug interactions (DDIs) precisely is important for safer and more effective drug co-prescription. Many computational approaches to predict the effect of DDIs have been proposed, with the aim of reducing the effort of identifying these interactions i...

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Bibliographic Details
Main Authors: Geonhee Lee, Chihyun Park, Jaegyoon Ahn
Format: Article
Language:English
Published: BMC 2019-08-01
Series:BMC Bioinformatics
Subjects:
Drug-drug interaction
Deep learning
Autoencoder
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Online Access:http://link.springer.com/article/10.1186/s12859-019-3013-0

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http://link.springer.com/article/10.1186/s12859-019-3013-0

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