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

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.