Article
Mutation-based clustering and classification analysis reveals distinctive age groups and age-related biomarkers for glioma.
BMC medical informatics and decision making - 27 Feb 2021
Jean-Quartier Claire, Jeanquartier Fleur, Ridvan Aydin, Kargl Matthias, Mirza Tica, Stangl Tobias, Markaĉ Robi, Jurada Mauro, Holzinger Andreas
Abstract excerpt
BACKGROUND: Malignant brain tumor diseases exhibit differences within molecular features depending on the patient's age. METHODS: 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. We estimate age clusters and correlate age...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.