Unlocking potential biomarkers bridging coronary atherosclerosis and pyrimidine metabolism-associated genes through an integrated bioinformatics and machine learning approach

Unlocking potential biomarkers bridging coronary atherosclerosis and pyrimidine metabolism-associated genes through an integrated bioinformatics and machine learning approach

Abstract Background This study delves into the intricate landscape of atherosclerosis (AS), a chronic inflammatory disorder with significant implications for cardiovascular health. AS poses a considerable burden on global healthcare systems, elevating both mortality and morbidity rates. The patholog...

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Bibliographic Details
Main Authors: Fanli Bu, Xiao Qin, Tiantian Wang, Na Li, Man Zheng, Zixuan Wu, Kai Ma
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Cardiovascular Disorders
Subjects:
Atherosclerosis (AS)
Pyrimidine Metabolism Genes (PyMGs)
Lasso regression
SVM-RFE
Bioinformatics
Online Access:https://doi.org/10.1186/s12872-024-03819-w

Internet

https://doi.org/10.1186/s12872-024-03819-w

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