Potential Genes and Pathways of Neonatal Sepsis Based on Functional Gene Set Enrichment Analyses.

ABSTRACT:

Background

Neonatal sepsis (NS) is considered as the most common cause of neonatal deaths that newborns suffer from. Although numerous studies focus on gene biomarkers of NS, the predictive value of the gene biomarkers is low. NS pathogenesis is still needed to be investigated.

Methods

After data preprocessing, we used KEGG enrichment method to identify the differentially expressed pathways between NS and normal controls. Then, functional principal component analysis (FPCA) was adopted to calculate gene values in NS. In order to further study the key signaling pathway of the NS, elastic-net regression model, Mann-Whitney U test, and coexpression network were used to estimate the weights of signaling pathway and hub genes.

Results

A total of 115 different pathwa

SUBMITTER: Meng Y 

PROVIDER: S-EPMC6091373 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature