Mutation-based clustering and classification of glioma genomic mutation data to understand more about age differences
In this work, we use gene mutation data from public resources to explore age specifics about glioma. We use both an explainable clustering as well as classification approach to find and interpret age based differences in brain tumor diseases.
See also the publication Jean-Quartier, C., Jeanquartier, F., ... & Holzinger, A. (2021). Mutation-based clustering and classification analysis reveals distinctive age groups and age-related biomarkers for glioma. BMC medical informatics and decision making.