ArticleBMC medical informatics and decision making2021
Mutation-based clustering and classification analysis reveals distinctive age groups and age-related biomarkers for glioma.
Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Explainable Machine Learning Models for Brain Diseases: Insights from a Systematic Review.Neurology international · 2024Review
- Molecular Determinants of Neurocognitive Deficits in Glioma: Based on 2021 WHO Classification.Journal of molecular neuroscience : MN · 2024Article
- The underuse of AI in the health sector: Opportunity costs, success stories, risks and recommendations.Health and technology · 2024Review
- An update on the molecular biology of glioblastoma, with clinical implications and progress in its treatment.Cancer communications (London, England) · 2022Review
- A Risk Signature Consisting of Eight mCellular and molecular neurobiology · 2022Article
- Transcriptomic Landscape of Lower Grade Glioma Based on Age-Related Non-Silent Somatic Mutations.Current oncology (Toronto, Ont.) · 2021Article
- Machine learning analysis of TCGA cancer data.PeerJ. Computer science · 2021Article
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Authors and funding
9 authors.
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Abstract
backgroundMalignant brain tumor diseases exhibit differences within molecular features depending on the patient's age.
methodsIn 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 specific biomarkers.
resultsAge group classification shows known age specifics but also points out several genes which, so far, have not been associated with glioma classification.
conclusionsWe highlight mutated genes to be characteristic for certain age groups and suggest novel age-based biomarkers and targets.
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