Area Under the Curve (AUC) based on the training dataset.

<p>Area Under the Curve (AUC) was obtained from the ROC curves of 9 predictors: AUC cannot be computed for AMYLPRED2 as it provides only a binary prediction. For each method, the global AUC, the AUC for the False Positive Rate range of 0–20% and the AUC for the False Positive Rate range of 0–5% are reported. Numbers in brackets correspond to 95% confidence intervals (95% C.I.) that were obtained using bootstrap replicates <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0079722#pone.0079722-Robin1" target="_blank">[43]</a>. The comparison of MetAmyl AUC and the other methods is summarized by the p.value obtained with Delong's method <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0079722#pone.0079722-DeLong1" target="_blank">[49]</a>. For the MetAmyl classifier, results were obtained using a Leave-One-Out Cross Validation.