Relation path feature embedding based convolutional neural network method for drug discovery-Reference-Cited by-同舟云学术

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

Published:2019-04 Issue:S2 Volume:19 Page:
ISSN:1472-6947
Container-title:BMC Medical Informatics and Decision Making
language:en
Short-container-title:BMC Med Inform Decis Mak

Author:

Zhao Di,Wang Jian,Sang Shengtian,Lin Hongfei,Wen Jiabin,Yang Chunmei

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Link

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

Reference35 articles.

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3. Ahmed A. Literature-based discovery: Critical analysis and future directions. Int J Comput Sci Netw Secur (IJCSNS). 2016; 16(7):11–26.

4. Gubiani D, Petrič I, Fabbretti E, Urbančič T. Mining scientific literature about ageing to support better understanding and treatment of degenerative diseases. In: Conference on Data Mining and Data Warehouses. Ljubljana: 2015.

5. Ahmed A, Alhashmi SM. A metric for literature-based discovery methodology evaluation. In: Computer Systems and Applications. Agadir: IEEE: 2016. p. 1–5.

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