Image 1_Integrated machine learning analysis of 30 cell death patterns identifies a novel prognostic signature in glioma.jpeg

Image 1_Integrated machine learning analysis of 30 cell death patterns identifies a novel prognostic signature in glioma.jpeg

Background<p>Glioma heterogeneity and therapeutic resistance are closely linked to dysregulated programmed cell death (PCD). While individual PCD pathways have been studied, the integrated network of multi-modal PCD interactions and their clinical implications in glioma remain poorly understoo...

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Main Author: Minhao Huang (4952764) (author)
Other Authors: Kai Zhao (53042) (author), Yongtao Yang (181293) (author), Kexin Mao (12540298) (author), Hangyu Ma (22274422) (author), Tingting Wu (228837) (author), Guolin Shi (6106217) (author), Wenhu Li (1474375) (author), Yan Li (23143) (author), Ruiqi Peng (13389684) (author), Ying Cheng (288456) (author), Ninghui Zhao (6850274) (author)
Published: 2025
Subjects:
Cell Biology
glioma
programmed cell death
machine learning
immune microenvironment
drug sensitivity
prognostic model
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