Unlocking the potential of microRNAs: machine learning identifies key biomarkers for myocardial infarction diagnosis.

ABSTRACT:

Background

MicroRNAs (miRNAs) play a crucial role in regulating adaptive and maladaptive responses in cardiovascular diseases, making them attractive targets for potential biomarkers. However, their potential as novel biomarkers for diagnosing cardiovascular diseases requires systematic evaluation.

Methods

In this study, we aimed to identify a key set of miRNA biomarkers using integrated bioinformatics and machine learning analysis. We combined and analyzed three gene expression datasets from the Gene Expression Omnibus (GEO) database, which contains peripheral blood mononuclear cell (PBMC) samples from individuals with myocardial infarction (MI), stable coronary artery disease (CAD), and healthy individuals. Additionally, we selected a set of miRNAs based on their area unde

SUBMITTER: Samadishadlou M 

PROVIDER: S-EPMC10496209 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature