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Bioinformatics and machine learning approaches reveal key genes and underlying molecular mechanisms of atherosclerosis: A review

2 Aug 2024

Abstract excerpt

Atherosclerosis (AS) causes thickening and hardening of the arterial wall due to accumulation of extracellular matrix, cholesterol, and cells. In this study, we used comprehensive bioinformatics tools and machine learning approaches to explore key genes and molecular network mechanisms underlying AS in multiple data sets. Next, we analyzed the correlation between AS and immune fine cell infiltration, and finally...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 39093811
DOI: 10.1097/md.0000000000038744

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