Bioinformatic Analysis and Machine Learning Methods in Neonatal Sepsis: Identification of Biomarkers and Immune Infiltration

Bioinformatic Analysis and Machine Learning Methods in Neonatal Sepsis: Identification of Biomarkers and Immune Infiltration

The disease neonatal sepsis (NS) poses a serious threat to life, and its pathogenesis remains unclear. Using the Gene Expression Omnibus (GEO) database, differentially expressed genes (DEGs) were identified and functional enrichment analyses were conducted. Three machine learning algorithms containi...

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Bibliographic Details
Main Authors: Zhou Jiang, Yujia Luo, Li Wei, Rui Gu, Xuandong Zhang, Yuanyuan Zhou, Songying Zhang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Biomedicines
Subjects:
neonatal sepsis
biomarkers
immune infiltration
machine learning
GEO database
Online Access:https://www.mdpi.com/2227-9059/11/7/1853

Internet

https://www.mdpi.com/2227-9059/11/7/1853

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