Immune-associated biomarkers identification for diagnosing carotid plaque progression with uremia through systematical bioinformatics and machine learning analysis

Immune-associated biomarkers identification for diagnosing carotid plaque progression with uremia through systematical bioinformatics and machine learning analysis

Abstract Background Uremia is one of the most challenging problems in medicine and an increasing public health issue worldwide. Patients with uremia suffer from accelerated atherosclerosis, and atherosclerosis progression may trigger plaque instability and clinical events. As a result, cardiovascula...

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Bibliographic Details
Main Authors: Chunjiang Liu, Liming Tang, Yue Zhou, Xiaoqi Tang, Gang Zhang, Qin Zhu, Yufei Zhou
Format: Article
Language:English
Published: BMC 2023-02-01
Series:European Journal of Medical Research
Subjects:
Unstable carotid plaque
Uremia
Diagnostic biomarker
Bioinformatics analysis
Machine learning
Immune cell infiltration
Online Access:https://doi.org/10.1186/s40001-023-01043-4

Internet

https://doi.org/10.1186/s40001-023-01043-4

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