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Our RMT-inspired algorithm classifies ligands with high accuracy. (A) The ROC curve of our algorithm. The AUC of the mean ROC curve is 0.9. The shaded region shows 1 SD in the true positive, corresponding to AUC = 0.86–0.95. (B) Accuracy at identifying ligands and rejecting decoys plotted as a function of percent of the training set rejected by the choice of the threshold ε.
