Machine learning analysis of oxidative stress‐related phenotypes for specific gene screening in ovarian cancer

Oxidative stress serves a crucial role in tumor development. However, the relationship between ovarian cancer and oxidative stress remains unknown. We aimed to create an oxidative stress-related prognostic signature to enhance the prognosis prediction of CC patients using bioinformatics.