Extracting chemical–protein relations with ensembles of SVM and deep learning models-Reference-Cited by-同舟云学术

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Extracting chemical–protein relations with ensembles of SVM and deep learning models

Published:2018-01-01 Issue: Volume:2018 Page:
ISSN:1758-0463
Container-title:Database
language:en
Short-container-title:

Author:

Peng Yifan¹^ORCID,Rios Anthony¹²,Kavuluru Ramakanth²³,Lu Zhiyong¹

Affiliation:

1. National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA

2. Department of Computer Science, University of Kentucky, Lexington, KY, USA

3. Division of Biomedical Informatics Department of Internal Medicine, University of Kentucky, Lexington, KY, USA

Funder

National Library of Medicine

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

http://academic.oup.com/database/article-pdf/doi/10.1093/database/bay073/27438788/bay073.pdf

Reference31 articles.

1. The Nature of Statistical Learning Theory

2. Opportunities and obstacles for deep learning in biology and medicine;Ching;J. R. Soc. Interface,2018

3. Deep learning for extracting protein-protein interactions from biomedical literature;Peng;BioNLP 2017,2017

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