Single-cell sequencing combined with machine learning to identify glioma biomarkers and therapeutic targets

BackgroundThe purpose of this study is to utilize single-cell sequencing data to explore glioma heterogeneity and identify key biomarkers associated with glioblastoma multiforme (GBM) relapse using machine learning.MethodsSingle-cell sequencing and transcriptome data for gliomas were obtained from t...

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Bibliografische gegevens
Hoofdauteurs: Yu Yan, Zhengmin Chu, Qi Zhong, Genghuan Wang
Formaat: Artikel
Taal:Engels
Gepubliceerd in: Frontiers Media S.A. 2025-07-01
Reeks:Frontiers in Oncology
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Online toegang:https://www.frontiersin.org/articles/10.3389/fonc.2025.1629102/full
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