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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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Bibliografische Detailangaben
Hauptverfasser: Siming Lin, Kexin Cai, Shaodan Feng, Zhihong Lin
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2024-10-01
Schriftenreihe:Frontiers in Genetics
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Online-Zugang:https://www.frontiersin.org/articles/10.3389/fgene.2024.1444003/full
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