Machine-learning assisted subclassification of glioblastoma by developing an endoplasmic reticulum stress-related methylation signature
IntroductionGlioblastoma (GBM) is a highly aggressive brain tumor with significant heterogeneity, leading to poor prognosis and limited treatment options. Developing innovative molecular subtyping approaches is important for gaining deeper insights into disease pathogenesis and optimizing treatment...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2026-04-01
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| coleção: | Frontiers in Oncology |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fonc.2026.1750334/full |
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