Exploring cuproptosis-related molecular clusters and immunological characterization in ischemic stroke through machine learning

Exploring cuproptosis-related molecular clusters and immunological characterization in ischemic stroke through machine learning

Objective: Ischemic stroke (IS) is a significant health concern with high disability and fatality rates despite available treatments. Immune cells and cuproptosis are associated with the onset and progression of IS. Investigating the interaction between cuproptosis-related genes (CURGs) and immune c...

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Bibliographic Details
Main Authors: Rongxing Qin, Xiaojun Liang, Yue Yang, Jiafeng Chen, Lijuan Huang, Wei Xu, Qingchun Qin, Xinyu Lai, Xiaoying Huang, Minshan Xie, Li Chen
Format: Article
Language:English
Published: Elsevier 2024-09-01
Series:Heliyon
Subjects:
Cuproptosis-related genes
Ischemic stroke
Immune infiltration
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402412590X

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http://www.sciencedirect.com/science/article/pii/S240584402412590X

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