In Silico Identification of Key Genes and Immune Infiltration Characteristics in Epicardial Adipose Tissue from Patients with Coronary Artery Disease.

Yisen DengXuming WangZhan LiuXiaoshuo LvBo MaQiangqiang NieXueqiang FanYuguang YangZhidong YePeng Liu Jian-Yan Wen

Published in: BioMed research international (2022)

TCF21, CDH19, XG, and NNAT might serve as feature genes for CAD, providing new insights for future research on the pathogenesis of cardiovascular diseases.

Keyphrases

bioinformatics analysis
adipose tissue
genome wide
cardiovascular disease
genome wide identification
coronary artery disease
machine learning
current status
deep learning
high fat diet
genome wide analysis
dna methylation
gene expression
type diabetes
cardiovascular events