Deciphering the molecular classification of pediatric sepsis: integrating WGCNA and machine learning-based classification with immune signatures for the development of an advanced diagnostic model

Deciphering the molecular classification of pediatric sepsis: integrating WGCNA and machine learning-based classification with immune signatures for the development of an advanced diagnostic model

Introduction: Pediatric sepsis (PS) is a life-threatening infection associated with high mortality rates, necessitating a deeper understanding of its underlying pathological mechanisms. Recently discovered programmed cell death induced by copper has been implicated in various medical conditions, but...

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Bibliographic Details
Main Authors: Junming Huang, Jinji Chen, Chengbang Wang, Lichuan Lai, Hua Mi, Shaohua Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Genetics
Subjects:
pediatric sepsis
cuproptosis-related genes (CRGs)
cluster analysis
gene regulatory networks
immunology
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2024.1294381/full

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https://www.frontiersin.org/articles/10.3389/fgene.2024.1294381/full

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