A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration
Author:
Funder
University of Melbourne
Data61
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology
Link
http://link.springer.com/content/pdf/10.1186/s12859-018-2123-4.pdf
Reference64 articles.
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3. Li J, Zheng S, Chen B, Butte AJ, Swamidass SJ, Lu Z. A survey of current trends in computational drug repositioning. Brief Bioinforma. 2016; 17(1):2–12.
4. U Sahu N, S Kharkar P. Computational drug repositioning: A lateral approach to traditional drug discovery?Curr Top Med Chem. 2016; 16(19):2069–77.
5. Yamanishi Y, Kotera M, Kanehisa M, Goto S. Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework. Bioinformatics. 2010; 26(12):246–54.
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