Identifying drug-pathway association pairs based on L2,1-integrative penalized matrix decomposition-Reference-Cited by-同舟云学术

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Identifying drug-pathway association pairs based on L2,1-integrative penalized matrix decomposition

Published:2017-12 Issue:S6 Volume:11 Page:
ISSN:1752-0509
Container-title:BMC Systems Biology
language:en
Short-container-title:BMC Syst Biol

Author:

Liu Jin-Xing,Wang Dong-Qin,Zheng Chun-Hou,Gao Ying-Lian,Wu Sha-Sha,Shang Jun-Liang

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Modelling and Simulation,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12918-017-0480-7.pdf

Reference39 articles.

1. Costello JC, Heiser LM, Georgii E, Gönen M, Menden MP, Wang NJ, Bansal M, Ammaduddin M, Hintsanen P, Khan SA. A community effort to assess and improve drug sensitivity prediction algorithms. Nat Biotechnol. 2014;32:1202–12.

2. Chen X, Yan CC, Zhang X, Zhang X, Dai F, Yin J, Zhang Y. Drug-target interaction prediction: databases, web servers and computational models. Brief Bioinform. 2015;17(4):696.

3. Napolitano F, Zhao Y, Moreira VM, Tagliaferri R, Kere J, D’Amato M, Greco D. Drug repositioning: a machine-learning approach through data integration. J Cheminform. 2013;5:1–9.

4. Hopkins AL. Network pharmacology: the next paradigm in drug discovery. Nat Chem Biol. 2008;4:682–90.

5. Ma H, Zhao H. Drug target inference through pathway analysis of genomics data. Adv Drug Deliv Rev. 2013;65:966–72.

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