A Metabolic Gene Prognostic Risk Model for Cervical Cancer

• Главные авторы: Xiaofeng Lv (Автор), Ruyue Gong (Автор), Shihong Cui (Автор), Changyu Wang (Автор)
• Формат: ‌
• Опубликовано: IMR Press, 2022-12-01T00:00:00Z.
• Предметы: article
• Online-ссылка: Connect to this object online.

Background: Previous studies have identified hundreds of constantly changing metabolic genes in cervical cancer, however, their prognostic effect remains to be explored. Methods: In this paper, Cox univariate regression and Lasso regression models were used to identify metabolic genes associated wit...