Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings

Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings

Abstract Background Current approaches to identifying drug-drug interactions (DDIs), include safety studies during drug development and post-marketing surveillance after approval, offer important opportunities to identify potential safety issues, but are unable to provide complete set of all possibl...

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Bibliographic Details
Main Authors: Remzi Celebi, Huseyin Uyar, Erkan Yasar, Ozgur Gumus, Oguz Dikenelli, Michel Dumontier
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Bioinformatics
Subjects:
Drug-drug interaction
Paired data
Disjoint cross-validation
Realistic evaluation
Online Access:https://doi.org/10.1186/s12859-019-3284-5

Internet

https://doi.org/10.1186/s12859-019-3284-5

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