Mutation-based clustering and classification analysis reveals distinctive age groups and age-related biomarkers for glioma

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 appro...

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Detalles Bibliográficos
Autores principales: Jean-Quartier, Claire, Jeanquartier, Fleur, Ridvan, Aydin, Kargl, Matthias, Mirza, Tica, Stangl, Tobias, Markaĉ, Robi, Jurada, Mauro, Holzinger, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913451/
https://www.ncbi.nlm.nih.gov/pubmed/33639927
http://dx.doi.org/10.1186/s12911-021-01420-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913451/
https://www.ncbi.nlm.nih.gov/pubmed/33639927
http://dx.doi.org/10.1186/s12911-021-01420-1

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