Identification of pivotal genes and regulatory networks associated with atherosclerotic carotid artery stenosis based on comprehensive bioinformatics analysis and machine learning

Identification of pivotal genes and regulatory networks associated with atherosclerotic carotid artery stenosis based on comprehensive bioinformatics analysis and machine learning

Objective:Bioinformatics methods were applied to investigate the pivotal genes and regulatory networks associated with atherosclerotic carotid artery stenosis (ACAS) and provide new insights for the treatment of this disease.Methods:The study utilized five ACAS datasets (GSE100927, GSE11782, GESE288...

Full description

Bibliographic Details
Main Authors: Xiaohong Qin, Rui Ding, Haoran Lu, Wenfei Zhang, Shanshan Wei, Baowei Ji, Rongxin Geng, Liquan Wu, Zhibiao Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Pharmacology
Subjects:
carotid artery stenosis
atherosclerosis
machine learning
pathogenic markers
therapeutic targets
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2024.1364160/full

Internet

https://www.frontiersin.org/articles/10.3389/fphar.2024.1364160/full

Similar Items