Predicting kinase inhibitors using bioactivity matrix derived informer sets
Fig 2
A comparison of models with respect to compound ranking performance as assessed by ROCAUC values.
Each model was evaluated on 224 targets through PKIS1 leave-one-target-out validation. ROCAUC of 0.5 indicates a random ranking of compounds on a given target; ROCAUC of 1.0 represents ideal ranking with all active compounds prioritized above the inactives. The individual target evaluations are shown as light grey dots with median and interquartile ranges displayed as a white circle and black bars, respectively.