Integrative analysis of bioinformatics and machine learning to identify cuprotosis-related biomarkers and immunological characteristics in heart failure

Integrative analysis of bioinformatics and machine learning to identify cuprotosis-related biomarkers and immunological characteristics in heart failure

BackgroundsCuprotosis is a newly discovered programmed cell death by modulating tricarboxylic acid cycle. Emerging evidence showed that cuprotosis-related genes (CRGs) are implicated in the occurrence and progression of multiple diseases. However, the mechanism of cuprotosis in heart failure (HF) ha...

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Bibliographic Details
Main Authors: Dingyuan Tu, Qiang Xu, Yanmin Luan, Jie Sun, Xiaoli Zuo, Chaoqun Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
cuprotosis
heart failure
bioinformatics
machine learning
immune infiltration
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1349363/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2024.1349363/full

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