DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions

Abstract

The results demonstrate that positive-unlabeled learning paves a new way to tackle the problem caused by the lack of experimentally verified negatives in the computational prediction of DDIs.