Predicting drug–target interaction using positive-unlabeled learning-Reference-Cited by-同舟云学术

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Predicting drug–target interaction using positive-unlabeled learning

Published:2016-09 Issue: Volume:206 Page:50-57
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Lan Wei,Wang Jianxin,Li Min,Liu Jin,Li Yaohang,Wu Fang-Xiang,Pan Yi

Funder

National Natural Science Foundation of China

Program for New Century Excellent Talents in University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference46 articles.

1. Drug discovery;Hopkins;Nature,2009

2. Network output controllability-based method for drug target identification;Wu;IEEE Trans. NanoBiosci.,2015

3. Phenotypic screening in cancer drug discovery [mdash] past, present and future;Moffat;Nat. Rev. Drug Discov.,2014

4. Exploiting structural information for drug-target assessment;Volkamer;Future Med. Chem.,2014

5. A fast and high performance multiple data integration algorithm for identifying human disease genes;Chen;BMC Med. Genom.,2015

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