Identification of Novel Diagnostic Markers for Atherosclerosis Using Machine-Learning Algorithms.

Journal: Journal of the College of Physicians and Surgeons--Pakistan : JCPSP

PMID: 40325572

Abstract

OBJECTIVE: To outline immune-cell infiltration and identify diagnostic genes for atherosclerosis (AS) to better understand the potential molecular processes involved in AS development.

Authors

Yanshuang Cheng

Department of Neurosurgery, The First Hospital of China Medical University, Liaoning, China.
Yang Shao

Nanjing Geneseeq Technology Inc., 128 Huakang Road, Pukou, Nanjing 210032, China.

Keywords

Algorithms Atherosclerosis Biomarkers China Gene Expression Profiling Humans Inflammation Machine Learning ROC Curve

External Resources

View on PubMed Access via DOI PubMed (40325572)

Identification of Novel Diagnostic Markers for Atherosclerosis Using Machine-Learning Algorithms.

Abstract

Authors

Keywords

External Resources

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