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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

2023-08-31

Abstract excerpt

<h4>Background: </h4> 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 its potential involvement in PS remains largely unexplored. Methods We first analyzed the expression patter...

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Literature Corpus work
c3d94bd1-b977-5f5c-83e5-025b4437f3d0
DOI
10.21203/rs.3.rs-3299669/v1
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Deciphering the molecular Classification of pediatric sepsis: Integrating WGCNA and Machine learning-based classification with immune signatures for the development of an advanced diagnostic modelDOI 10.21203/rs.3.rs-3299669/v1
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