Cross-validation of the classifiers. As explained in the Methods section, we learned five different classifiers on the three features subsets. Cross-validation was performed with a leave-oneout approach. The models obtained by applying decision tree and rules learner are reported in the supplementary material (see Text S1 and Text S2). Table 3 shows the results obtained in terms of mean accuracy, sensitivity, specificity, precision and F-measure: