Multiple machine learning algorithms identify 13 types of cell death-critical genes in large and multiple non-alcoholic steatohepatitis cohorts

Multiple machine learning algorithms identify 13 types of cell death-critical genes in large and multiple non-alcoholic steatohepatitis cohorts

Abstract Background Dysregulated programmed cell death pathways mechanistically contribute to hepatic inflammation and fibrogenesis in non-alcoholic steatohepatitis (NASH). Identification of cell death genes may offer insights into diagnostic and therapeutic strategies for NASH. Methods Data from mu...

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Bibliographic Details
Main Authors: Renao Jiang, Longfei Dai, Xinjian Xu, Zhen Zhang
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Lipids in Health and Disease
Subjects:
NASH
Cell death
Machine learning
Prediction model
Online Access:https://doi.org/10.1186/s12944-025-02588-5
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