IDH3A and glioma: Additionally, we analyzed pathway activity across glioma subtypes from the TCGA/TCIA dataset and employed five machine learning models, namely kernel partial least squares with the genetic algorithm (GA-KPLS), random forest, the least absolute shrinkage and selection operator, K-Nearest Neighbor, and Naïve Bayes, to predict isocitrate dehydrogenase (IDH) genotype from the FHSXMU/SPPH dataset.<h4>Results</h4>We identified 2 glioma phenotypic subtypes, high-risk and low-risk groups.