Identification of Four Potential Biomarkers Associated With Coronary Artery Disease in Non-diabetic Patients by Gene Co-expression Network Analysis

Identification of Four Potential Biomarkers Associated With Coronary Artery Disease in Non-diabetic Patients by Gene Co-expression Network Analysis

BackgroundCoronary artery disease (CAD) is a type of cardiovascular disease that greatly hurts the health of human beings. Diabetic status is one of the largest clinical factors affecting CAD-associated gene expression changes. Most of the studies focus on diabetic patients, whereas few have been do...

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Bibliographic Details
Main Authors: Min Jiao, Jingtian Li, Quan Zhang, Xiufeng Xu, Ruidong Li, Peikang Dong, Chun Meng, Yi Li, Lijuan Wang, Wanpeng Qi, Kai Kang, Hongjie Wang, Tao Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Genetics
Subjects:
coronary artery disease
non-diabetic patients
weighted gene co-expression network analysis
function enrichment analysis
biomarkers
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00542/full

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https://www.frontiersin.org/article/10.3389/fgene.2020.00542/full

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