ROC curves given by DisPredict for the probability prediction per residue while the training is performed with (A) SL477 and (B) MxD444 dataset.

<p>In each figure, the solid (<i>blue</i>) curve corresponds to the cross validation test on the same dataset and the dotted (<i>red</i>) curve corresponds to the independent test. The AUC values given in each figure correspond to the values in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0141551#pone.0141551.t006" target="_blank">Table 6</a>. The x-axis and y-axis show the Specificity and Sensitivity, respectively.