Machine Learning–Driven Identification of Molecular Subgroups in Medulloblastoma via Gene Expression Profiling

This study highlights the efficacy of ML algorithms in classifying MB subgroups using gene expression data. The integration of feature selection techniques substantially improves model performance, paving the way for enhanced personalised approaches in MB management.