Fig. 1

Accuracy of the MethPed classifier. a Classification accuracy of individual methylation probes in one vs all other logistic regression analyses. The boxplots displays the classification accuracy as measured by the area under the curve (AUC values or c-statistics) for the 100 probes per tumor subtype that provided the highest predictive power; b Confusion matrix showing an extremely high predictive capacity of MethPed, illustrated by the high percentage of correct classification of randomly drawn pairs; and c Decision boundaries for five tumor types exemplifying the possibility to delimitate a certain tumor type from the rest based on the two probes that proved to be the best for each tumor in one vs all other regression analyses