Identification of m5C-Related gene diagnostic biomarkers for sepsis: a machine learning study

BackgroundSepsis is a serious condition that occurs when the body’s response to infection becomes uncontrolled, resulting in a high risk of death. Despite improvements in healthcare, identifying sepsis early is difficult because of its diverse nature and the absence of distinct biomarkers. Recent st...

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Bibliographic Details

Published in:	Frontiers in Genetics
Main Authors:	Siming Lin, Kexin Cai, Shaodan Feng, Zhihong Lin
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-10-01
Subjects:	bioinformatics diagnostic biomarkers immune infiltration machine learning m5C-related gene sepsis
Online Access:	https://www.frontiersin.org/articles/10.3389/fgene.2024.1444003/full