Machine learning-driven prediction model for cuproptosis-related genes in spinal cord injury: construction and experimental validation

Machine learning-driven prediction model for cuproptosis-related genes in spinal cord injury: construction and experimental validation

IntroductionSpinal cord injury (SCI) severely affects the central nervous system. Copper homeostasis is closely related to mitochondrial regulation, and cuproptosis is a novel form of cell death associated with mitochondrial metabolism. This study aimed to explore the relationship between SCI and cu...

Full description

Saved in:
Bibliographic Details
Main Authors: Yimin Zhou, Xin Li, Zixiu Wang, Liqi Ng, Rong He, Chaozong Liu, Gang Liu, Xiao Fan, Xiaohong Mu, Yu Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Neurology
Subjects:
spinal cord injury
cuproptosis
machine learning
predictive models
unsupervised clustering
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2025.1525416/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2025.1525416/full

Similar Items