Heatmaps of predictive power (AUC), predictive accuracy (ACC), sensitivity (SEN), and specificity (SPE) for discriminating IDH-mutant grade 4 astrocytomas from IDH-wild-type GBMs utilizing a variety of feature selections (training set equal to 80%), and machine learning algorithms applied to distinct subregions of neoplasms, are shown in Supplementary Figures S1–S4, respectively. Here, IDH1 is linked to neoplasm.