NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug–target interactions-Reference-Cited by-同舟云学术

NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug–target interactions

Published:2018-07-02 Issue:1 Volume:35 Page:104-111
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Wan Fangping¹,Hong Lixiang¹,Xiao An¹,Jiang Tao²³⁴,Zeng Jianyang¹

Affiliation:

1. Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China

2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

3. Bioinformatics Division, BNRIST, Tsinghua University, Beijing, China

4. Department of Computer Science and Engineering, University of California, Riverside, CA, USA

Funder

National Natural Science Foundation of China

China’s Youth 1000-Talent Program

Beijing Advanced Innovation Center for Structural Biology

Beijing Advanced Innovation Center for Structural biology

US National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/35/1/104/27182907/bty543.pdf

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3. Supervised prediction of drug-target interactions using bipartite local models;Bleakley;Bioinformatics,2009

4. The comparative toxicogenomics database: update 2013;Davis;Nucleic Acids Res,2013

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