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ABSTRACT: Background
This study aim to identify the core pathogenic genes and explore the potential molecular mechanisms of human coronary artery disease (CAD).Methodology
Two gene profiles of epicardial adipose tissue from CAD patients including GSE 18612 and GSE 64554 were downloaded and integrated by R software packages. All the coexpression of deferentially expressed genes (DEGs) were picked out and analyzed by DAVID online bioinformatic tools. In addition, the DEGs were totally typed into protein-protein interaction (PPI) networks to get the interaction data among all coexpression genes. Pictures were drawn by cytoscape software with the PPI networks data. CytoHubba were used to predict the hub genes by degree analysis. Finally all the top 10 hub genes and prediction gene
SUBMITTER: Wang W
PROVIDER: S-EPMC6900948 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature