Potential biomarkers and immune cell infiltration involved in aortic valve calcification identified through integrated bioinformatics analysis

Potential biomarkers and immune cell infiltration involved in aortic valve calcification identified through integrated bioinformatics analysis

Background: Calcific aortic valve disease (CAVD) is the most common valvular heart disease in the aging population, resulting in a significant health and economic burden worldwide, but its underlying diagnostic biomarkers and pathophysiological mechanisms are not fully understood.Methods: Three publ...

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Bibliographic Details
Main Authors: Xiaoshuo Lv, Xiaohui Wang, Jingwen Liu, Feng Wang, Mingsheng Sun, Xueqiang Fan, Zhidong Ye, Peng Liu, Jianyan Wen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Physiology
Subjects:
calcific aortic valve disease
immune cell infiltration
bioinformatics
machine learning
LASSO
SVM-RFE
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.944551/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2022.944551/full

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