WGCNA combined with machine learning algorithms for analyzing key genes and immune cell infiltration in heart failure due to ischemic cardiomyopathy
BackgroundIschemic cardiomyopathy (ICM) induced heart failure (HF) is one of the most common causes of death worldwide. This study aimed to find candidate genes for ICM-HF and to identify relevant biomarkers by machine learning (ML).MethodsThe expression data of ICM-HF and normal samples were downlo...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-03-01
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Series: | Frontiers in Cardiovascular Medicine |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2023.1058834/full |