Ontology highlight
ABSTRACT: Aim
Endometriosis is characterized by immune evasion and progressive inflammation. This study aimed to identify key genes related to immune and inflammation in endometriosis.Methods
Differentially expressed genes between patients with and without endometriosis were identified from the GEO database. Furthermore, immune- and inflammation-related genes (IRGs) were identified by intersecting the differentially expressed genes with known immune and inflammatory genes. Functional analyses of the GO and KEGG pathways of these genes were performed. Subsequently, three machine learning models-LASSO regression, SVM-RFE, and Boruta-were conducted to identify the potential key genes in endometriosis. Finally, the expressions of key genes in endometriosis were verified in two validation
SUBMITTER: Zhou Y
PROVIDER: S-EPMC12095003 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature