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Uncovering hub genes and immunological characteristics for heart failure utilizing RRA, WGCNA and Machine learning

9 Feb 2024

Abstract excerpt

Background: Heart failure (HF) is a major public health issue with high mortality and morbidity. This study aimed to find potential diagnostic markers for HF by the combination of bioinformatics analysis and machine learning, as well as analyze the role of immune infiltration in the pathological process of HF. Methods: The gene expression profiles of 124 HF patients and 135 nonfailing donors (NFDs) were obtained...

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PMID: 38371312
DOI: 10.1016/j.ijcha.2024.101335

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