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...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Ke-Ke, Zheng, Hui-Lei, Li, Shuo, Zeng, Zhi-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
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

Internet

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

Ejemplares similares