KMR: knowledge-oriented medicine representation learning for drug–drug interaction and similarity computation

KMR: knowledge-oriented medicine representation learning for drug–drug interaction and similarity computation

Abstract Efficient representations of drugs provide important support for healthcare analytics, such as drug–drug interaction (DDI) prediction and drug–drug similarity (DDS) computation. However, incomplete annotated data and drug feature sparseness create substantial barriers for drug representatio...

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Bibliographic Details
Main Authors: Ying Shen, Kaiqi Yuan, Min Yang, Buzhou Tang, Yaliang Li, Nan Du, Kai Lei
Format: Article
Language:English
Published: BMC 2019-03-01
Series:Journal of Cheminformatics
Subjects:
Drug embeddings
Knowledge representation
Drug–drug interaction
Drug–drug similarity
Feature processing
Online Access:http://link.springer.com/article/10.1186/s13321-019-0342-y

Internet

http://link.springer.com/article/10.1186/s13321-019-0342-y

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