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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2020
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| Materias: | |
| 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 |