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WGCNA combined with machine learning algorithms for analyzing key genes and immune cell infiltration in heart failure due to ischemic cardiomyopathy
BACKGROUND: Ischemic 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). METHODS: The expression data of ICM-HF and normal samples were d...
Autores principales: | Kong, XiangJin, Sun, HouRong, Wei, KaiMing, Meng, LingWei, Lv, Xin, Liu, ChuanZhen, Lin, FuShun, Gu, XingHua |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064046/ https://www.ncbi.nlm.nih.gov/pubmed/37008314 http://dx.doi.org/10.3389/fcvm.2023.1058834 |
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