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

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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Bibliographic Details
Main Authors: Yu Yan, Zhengmin Chu, Qi Zhong, Genghuan Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Oncology
Subjects:
Glioma
ScRNA-seq
prognosis
biomarker
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1629102/full
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