Ontology highlight
ABSTRACT: Background
Idiopathic pulmonary fibrosis (IPF) is one of the most severe pulmonary disorders, has poor outcomes, and is difficult to predict. This study sought to identify the critical genes involved in IPF progression, and to explore the relationship between these genes and immunogenic invasion.Methods
The GSE10667 dataset was downloaded from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) between IPF patients and normal participants. IPF-related hub genes were screened using differential gene analysis and weighted gene co-expression network analysis (WGCNA). For evaluating the diagnostic efficacy of these hub genes, a nomogram was constructed, and receiver operating characteristic (ROC) analysis was performed. Gene Ontology (GO
SUBMITTER: Sun S
PROVIDER: S-EPMC12557640 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature