Identification of potential necroinflammation-associated necroptosis-related biomarkers in necrotizing enterocolitis based on bioinformatics analysis and machine learning.

ABSTRACT:

Background

Necrotizing enterocolitis (NEC) stands as one of the most lethal conditions afflicting premature infants. There is a close relationship between necroptosis, necroinflammation, and the potential mechanisms of NEC. The purpose of this study was to investigate the mechanism of necroinflammation-associated necroptosis-related genes (NiNRGs) in NEC, identify NiNRGs-related diagnostic markers for NEC, and construct a diagnostic model for NEC through bioinformatics analysis and machine learning.

Methods

Differentially expressed NiNRGs (DE-NiNRGs) were identified through differential expression and correlation analysis, followed by gene set enrichment analysis (GSEA) and protein-protein interaction (PPI) network establishment. Three machine learning methods were used to f

SUBMITTER: Zhu J 

PROVIDER: S-EPMC12433084 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature