Transcriptomic analysis and machine learning modeling identifies novel biomarkers and genetic characteristics of hypertrophic cardiomyopathy

Transcriptomic analysis and machine learning modeling identifies novel biomarkers and genetic characteristics of hypertrophic cardiomyopathy

ObjectiveThis study aimed to leverage bioinformatics approaches to identify novel biomarkers and characterize the molecular mechanisms underlying hypertrophic cardiomyopathy (HCM).MethodsTwo RNA-sequencing datasets (GSE230585 and GSE249925) were obtained from the Gene Expression Omnibus (GEO) reposi...

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Bibliographic Details
Main Authors: Feng Zhang, Chunrui Li, Lulu Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Genetics
Subjects:
hypertrophic cardiomyopathy
gene expression
RNA sequencing
gene expression omnibus
DNA repair
biomarker
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2025.1596049/full
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