To do this, we applied a random forest (RF) machine learning prediction model using our defined DNA methylation probe signatures described in Ceccarelli et al. (2016): IDH mutant tumor-specific (n = 1,308), IDH mutant subtypes (n = 163), and IDH-wild-type tumor-specific (n = 914). This evidence concerns the gene IDH1 and neoplasm.