Nonnegative matrix factorization analysis and multiple machine learning methods identified IL17C and ACOXL as novel diagnostic biomarkers for atherosclerosis

Nonnegative matrix factorization analysis and multiple machine learning methods identified IL17C and ACOXL as novel diagnostic biomarkers for atherosclerosis

Abstract Background Atherosclerosis is the common pathological basis for many cardiovascular and cerebrovascular diseases. The purpose of this study is to identify the diagnostic biomarkers related to atherosclerosis through machine learning algorithm. Methods Clinicopathological parameters and tran...

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Bibliographic Details
Main Authors: Li Rao, Bo Peng, Tao Li
Format: Article
Language:English
Published: BMC 2023-05-01
Series:BMC Bioinformatics
Subjects:
Atherosclerosis
IL17C
ACOXL
Machine learning
Immune infiltration
Online Access:https://doi.org/10.1186/s12859-023-05244-w

Internet

https://doi.org/10.1186/s12859-023-05244-w

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