Identification of a glycolysis‐related gene signature for survival prediction of ovarian cancer patients

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 clinica...

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Detalles Bibliográficos
Autores principales: Zhang, Dai, Li, Yiche, Yang, Si, Wang, Meng, Yao, Jia, Zheng, Yi, Deng, Yujiao, Li, Na, Wei, Bajin, Wu, Ying, Zhai, Zhen, Dai, Zhijun, Kang, Huafeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Bioinfomatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607265/
https://www.ncbi.nlm.nih.gov/pubmed/34609082
http://dx.doi.org/10.1002/cam4.4317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607265/
https://www.ncbi.nlm.nih.gov/pubmed/34609082
http://dx.doi.org/10.1002/cam4.4317

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