Identification of molecular subtypes of coronary artery disease based on ferroptosis- and necroptosis-related genes.

ABSTRACT: Aim: Coronary artery disease (CAD) is a heterogeneous disorder with high morbidity, mortality, and healthcare costs, representing a major burden on public health. Here, we aimed to improve our understanding of the genetic drivers of ferroptosis and necroptosis and the clustering of gene expression in CAD in order to develop novel personalized therapies to slow disease progression. Methods: CAD datasets were obtained from the Gene Expression Omnibus. The identification of ferroptosis- and necroptosis-related differentially expressed genes (DEGs) and the consensus clustering method including the classification algorithm used km and distance used spearman were performed to differentiate individuals with CAD into two clusters (cluster A and cluster B) based expression matrix of D

SUBMITTER: Liu WP 

PROVIDER: S-EPMC9531137 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature