Fig. 4From: A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural networkThe ROC (a) and P-R (b) curves of DTI-CNN, DTINet, CMF and NRLMF on drug-target interactions prediction task. The AUROC of DTI-CNN is 0.9416 and the AUPR of DTI-CNN is 0.9499, which performs better on the drug-target interactions prediction task than the other three state-of-the-art DTI prediction methodsBack to article page