Machine learning-based identification of the novel circRNAs circERBB2 and circCHST12 as potential biomarkers of intracerebral hemorrhage

Machine learning-based identification of the novel circRNAs circERBB2 and circCHST12 as potential biomarkers of intracerebral hemorrhage

BackgroundThe roles and potential diagnostic value of circRNAs in intracerebral hemorrhage (ICH) remain elusive.MethodsThis study aims to investigate the expression profiles of circRNAs by RNA sequencing and RT–PCR in a discovery cohort and an independent validation cohort. Bioinformatics analysis w...

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Bibliographic Details
Main Authors: Congxia Bai, Xiaoyan Hao, Lei Zhou, Yingying Sun, Li Song, Fengjuan Wang, Liu Yang, Jiayun Liu, Jingzhou Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Neuroscience
Subjects:
intracerebral hemorrhage
RNA sequencing
circular RNA
biomarkers
machine learning algorithms
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.1002590/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.1002590/full

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