Identification of hub biomarkers of myocardial infarction by single-cell sequencing, bioinformatics, and machine learning.

ABSTRACT:

Background

Myocardial infarction (MI) is one of the first cardiovascular diseases endangering human health. Inflammatory response plays a significant role in the pathophysiological process of MI. Messenger RNA (mRNA) has been proven to play a key role in cardiovascular diseases. Single-cell sequencing (SCS) technology is a new technology for high-throughput sequencing analysis of genome, transcriptome, and epigenome at the single-cell level, and it also plays an important role in the diagnosis and treatment of cardiovascular diseases. Machine learning algorithms have a wide scope of utilization in biomedicine and have demonstrated superior efficiency in clinical trials. However, few studies integrate these three methods to investigate the role of mRNA in MI. The aim of this study w

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC9357907 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature