Sijia Zhang

ORCID: 0000-0002-7549-782X · 2 papers in corpus
article 2025
Medicine ·doi:10.1097/md.0000000000045341

This study aims to identify angiogenesis-associated genes (AAGs) in endometriosis (EM) by integrating bioinformatics analysis with machine learning, and to investigate their underlying mechanisms. Differentially expressed genes (DEGs) were …

article 2025
International Immunopharmacology ·doi:10.1016/j.intimp.2025.115563

Endometriosis (EMs) is a gynecological disorder characterized by chronic inflammation and an aberrant immune microenvironment. In this study, we integrated the GSE6364 dataset from the GEO database to identify differentially expressed genes…