WGCNA combined with machine learning algorithms for analyzing key genes and immune cell infiltration in heart failure due to ischemic cardiomyopathy

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...

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Bibliographic Details
Main Authors: XiangJin Kong, HouRong Sun, KaiMing Wei, LingWei Meng, Xin Lv, ChuanZhen Liu, FuShun Lin, XingHua Gu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
ischemic cardiomyopathy (ICM)
heart failure (HF)
machine learning (ML)
immune cell infiltration
weighted gene co-expression network analysis (WGCNA)
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1058834/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1058834/full

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