Identification of methylation signatures and rules for predicting the severity of SARS-CoV-2 infection with machine learning methods

Identification of methylation signatures and rules for predicting the severity of SARS-CoV-2 infection with machine learning methods

Patients infected with SARS-CoV-2 at various severities have different clinical manifestations and treatments. Mild or moderate patients usually recover with conventional medical treatment, but severe patients require prompt professional treatment. Thus, stratifying infected patients for targeted tr...

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Bibliographic Details
Main Authors: Zhiyang Liu, Mei Meng, ShiJian Ding, XiaoChao Zhou, KaiYan Feng, Tao Huang, Yu-Dong Cai
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Microbiology
Subjects:
SARS-CoV-2
severity
methylation
machine learning
classification rule
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2022.1007295/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2022.1007295/full

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