Revealing novel pyroptosis-related therapeutic targets for sepsis based on machine learning

Revealing novel pyroptosis-related therapeutic targets for sepsis based on machine learning

Abstract Background Sepsis is one of the most lethal diseases worldwide. Pyroptosis is a unique form of cell death, and the mechanism of interaction with sepsis is not yet clear. The aim of this study was to uncover pyroptosis genes associated with sepsis and to provide early therapeutic targets for...

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Bibliografiske detaljer
Main Authors: Ying Chen, Xingkai Wang, Jiaxin Wang, Junwei Zong, Xianyao Wan
Format: Article
Sprog:English
Udgivet: BMC 2023-02-01
Serier:BMC Medical Genomics
Fag:
Sepsis
WGCNA
Pyroptosis
Machine learning
Prediction model
Online adgang:https://doi.org/10.1186/s12920-023-01453-7

Internet

https://doi.org/10.1186/s12920-023-01453-7

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