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Identification of hub genes and their correlation with immune infiltration in coronary artery disease through bioinformatics and machine learning methods
BACKGROUND: Coronary artery disease (CAD) is a multifactorial disease and its pathogenesis remains unclear. We aimed to explore the optimal feature genes (OFGs) for CAD and to investigate the function of immune cell infiltration of CAD. It will be helpful for better understanding of the pathogenesis...
Autores principales: | Huang, Ke-Ke, Zheng, Hui-Lei, Li, Shuo, Zeng, Zhi-Yu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344404/ https://www.ncbi.nlm.nih.gov/pubmed/35928610 http://dx.doi.org/10.21037/jtd-22-632 |
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