Prediction of diagnostic gene biomarkers for hypertrophic cardiomyopathy by integrated machine learning.

ABSTRACT:

Objectives

Hypertrophic cardiomyopathy (HCM), a leading cause of heart failure and sudden death, requires early diagnosis and treatment. This study investigated the underlying pathogenesis and explored potential diagnostic gene biomarkers for HCM.

Methods

Transcriptional profiles of myocardial tissues from patients with HCM (dataset GSE36961) were downloaded from the Gene Expression Omnibus database and subjected to bioinformatics analyses, including differentially expressed gene (DEG) identification, enrichment analyses, and protein-protein interaction (PPI) network analysis. Least absolute shrinkage and selection operator (LASSO) regression and support vector machine recursive feature elimination were performed to identify candidate diagnostic gene biomarkers. mRNA express

SUBMITTER: You H 

PROVIDER: S-EPMC10683566 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature