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A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration

Hameed, Pathima Nusrath; Verspoor, Karin; Kusljic, Snezana; Halgamuge, Saman


Background: Drug repositioning is the process of identifying new uses for existing drugs. Computational drug repositioning methods can reduce the time, costs and risks of drug development by automating the analysis of the relationships in pharmacology networks. Pharmacology networks are large and heterogeneous. Clustering drugs into small groups can simplify large pharmacology networks, these subgroups can also be used as a starting point for repositioning drugs. In this paper, we propose a...[Show more]

CollectionsANU Research Publications
Date published: 2018
Type: Journal article
Source: BMC Bioinformatics
DOI: 10.1186/s12859-018-2123-4
Access Rights: Open Access


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