Identification of a glycolysis‐related gene signature for survival prediction of ovarian cancer patients
Abstract Background Ovarian cancer (OV) is deemed the most lethal gynecological cancer in women. The aim of this study was to construct an effective gene prognostic model for predicting overall survival (OS) in patients with OV. Methods The expression profiles of glycolysis‐related genes (GRGs) and...
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| Auteurs principaux: | , , , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Wiley
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/f21e41a493894f62885d5ec701973153 |
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