A Metabolic Gene Prognostic Risk Model for Cervical Cancer
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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IMR Press
2022-12-01
|
| Series: | Clinical and Experimental Obstetrics & Gynecology |
| Subjects: | |
| Online Access: | https://www.imrpress.com/journal/CEOG/49/12/10.31083/j.ceog4912273 |