Drug repositioning based on comprehensive similarity
measures and Bi-Random Walk algorithm
MBiRW is one novel computational method, which utilizes comprehensive similarity measures and Bi-Random walk algorithm to identify potential novel indications for a given drug.
The dataset including drug similarity, disease similarity and known drug-disease association, is download obtained from the supplementary material of paper Gottlieb et al., 2011[Gottlieb, A. et al. (2011) PREDICT: a method for inferring novel drug indications with application to personalized medicine. Molecular systems biology, 7(1), 496.], which collected comprehensive associations between drugs and diseases from multiple data sources. [Drug-disease.rar]
1. Source code of MBiRW algorithm can be downloaded here.