Construction of a novel prognostic-predicting model correlated to ovarian cancer

Background: Ovarian cancer (OC) is one of the most lethal gynecological cancers worldwide. The pathogenesis of the disease and outcomes prediction of OC patients remain largely unclear. The present study aimed to explore the key genes and biological pathways in ovarian carcinoma development, as well...

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Detalles Bibliográficos
Autores principales: Tang, Weichun, Li, Jie, Chang, Xinxia, Jia, Lizhou, Tang, Qi, Wang, Ying, Zheng, Yanli, Sun, Lizhou, Feng, Zhenqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2020
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414523/
https://www.ncbi.nlm.nih.gov/pubmed/32716025
http://dx.doi.org/10.1042/BSR20201261

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414523/
https://www.ncbi.nlm.nih.gov/pubmed/32716025
http://dx.doi.org/10.1042/BSR20201261

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