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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...
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| Publicado no: | J Int Med Res |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publications
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7840986/ https://ncbi.nlm.nih.gov/pubmed/33356708 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0300060520979856 |
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