Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms

Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms

ObjectiveAbdominal aortic aneurysm (AAA) is a life-threatening vascular condition. This study aimed to discover new indicators for the early detection of AAA and explore the possible involvement of immune cell activity in its development.MethodsSourced from the Gene Expression Omnibus, the AAA micro...

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Bibliographic Details
Main Authors: Ming Xie, Xiandeng Li, Congwei Qi, Yufeng Zhang, Gang Li, Yong Xue, Guobao Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
abdominal aortic aneurysm
feature gene
machine learning
WGCNA
immune cell infiltration
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1497170/full
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https://www.frontiersin.org/articles/10.3389/fcvm.2024.1497170/full

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