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Identification of signature genes and subtypes for heart failure diagnosis based on machine learning

14 Apr 2025

Abstract excerpt

Background Heart failure (HF) is a multifaceted clinical condition, and our comprehension of its genetic pathogenesis continues to be significantly limited. Consequently, identifying specific genes for HF at the transcriptomic level may enhance early detection and allow for more targeted therapies for these individuals. Methods HF datasets were acquired from the Gene Expression Omnibus (GEO) database (GSE57338),...

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PMID: 40297163
DOI: 10.3389/fcvm.2025.1492192

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