Incorporating machine learning and PPI networks to identify mitochondrial fission-related immune markers in abdominal aortic aneurysms

Incorporating machine learning and PPI networks to identify mitochondrial fission-related immune markers in abdominal aortic aneurysms

Purpose: The aim of this study is to investigate abdominal aortic aneurysm (AAA), a disease characterised by inflammation and progressive vasodilatation, for novel gene-targeted therapeutic loci. Methods: To do this, we used weighted co-expression network analysis (WGCNA) and differential gene analy...

Full description

Bibliographic Details
Main Authors: Yi-jiang Liu, Rui Li, Di Xiao, Cui Yang, Yan-lin Li, Jia-lin Chen, Zhan Wang, Xin-guo Zhao, Zhong-gui Shan
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Heliyon
Subjects:
Abdominal aortic aneurysm1
Immune microenvironment2
Machine learning3
Mitochondrial fission4
Single cell analysis5
Bioinformatics6
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024040209

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024040209

Similar Items