Fig. 4
From: Machine learning prediction of oncology drug targets based on protein and network properties
Predicting novel drug targets. a Predictions scores. We compared the distribution of predictions scores among the training set (approved cancer drug targets), validation set (clinical drug targets) and the rest of the proteins. The median score for the approved targets is the highest (0.96), followed by the clinical trial targets (0.73) and the rest of non-target proteins (0.11). The subset of proteins from the non-target set characterized with high scores are good novel drug target candidates. b Correlation of the number of currently approved drugs and the prediction scores of their corresponding targets