Chromatin-based RNA-map. (A) Each boxplot represents the relative change in signal densities as z-score values correlated with inclusion or skipping exons for the selected attributes, separated according to whether they show enrichment in skipping exons (red) or in inclusion exons (blue). The plots show the Kolmogorov-Smirnov test P-value for the comparisons of the distributions for each attribute. The exon triplet diagram in the middle shows the regions of the selected attributes (Additional file 1: Table S6). (B) Receiver operating characteristic (ROC) curves and precision-recall curves for the ADTree model, separated for inclusion (blue) and skipping exons (red). We indicate the average area under the ROC curve (0.735), precision (0.687) and recall (0.686) for both classes from the 10-fold cross-validation of the model (Additional file 1: Table S7). ADTree, Alternate Decision tree.