Machine learning unveils immune-related signature in multicenter glioma studies

Machine learning unveils immune-related signature in multicenter glioma studies

Summary: In glioma molecular subtyping, existing biomarkers are limited, prompting the development of new ones. We present a multicenter study-derived consensus immune-related and prognostic gene signature (CIPS) using an optimal risk score model and 101 algorithms. CIPS, an independent risk factor,...

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Bibliographic Details
Main Authors: Sha Yang, Xiang Wang, Renzheng Huan, Mei Deng, Zhuo Kong, Yunbiao Xiong, Tao Luo, Zheng Jin, Jian Liu, Liangzhao Chu, Guoqiang Han, Jiqin Zhang, Ying Tan
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:iScience
Subjects:
Immunology
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224005388

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http://www.sciencedirect.com/science/article/pii/S2589004224005388

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