Bioinformatics analysis identifies potential diagnostic signatures for coronary artery disease

BACKGROUND: Coronary artery disease (CAD) is the leading cause of mortality worldwide. We aimed to screen out potential gene signatures and construct a diagnostic model for CAD. METHOD: We downloaded two mRNA profiles, GSE66360 and GSE60993, and performed analyses of differential expression, gene on...

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Detalles Bibliográficos
Autores principales: Zhang, Dong, Guan, Liying, Li, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Prospective Clinical Research Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840986/
https://www.ncbi.nlm.nih.gov/pubmed/33356708
http://dx.doi.org/10.1177/0300060520979856

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840986/
https://www.ncbi.nlm.nih.gov/pubmed/33356708
http://dx.doi.org/10.1177/0300060520979856

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