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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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| Publicado no: | BMC Med Inform Decis Mak |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7913451/ https://ncbi.nlm.nih.gov/pubmed/33639927 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-021-01420-1 |
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