Relation path feature embedding based convolutional neural network method for drug discovery

Relation path feature embedding based convolutional neural network method for drug discovery

Abstract Background Drug development is an expensive and time-consuming process. Literature-based discovery has played a critical role in drug development and may be a supplementary method to help scientists speed up the discovery of drugs. Methods Here, we propose a relation path features embedding...

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Bibliographic Details
Main Authors: Di Zhao, Jian Wang, Shengtian Sang, Hongfei Lin, Jiabin Wen, Chunmei Yang
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Literature-based discovery
Drug discovery
Knowledge graph
Path ranking algorithm
Convolutional neural network
Online Access:http://link.springer.com/article/10.1186/s12911-019-0764-5

Internet

http://link.springer.com/article/10.1186/s12911-019-0764-5

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