Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods

BACKGROUND: Though considerable efforts have been made to improve the treatment of epithelial ovarian cancer (EOC), the prognosis of patients has remained poor. Identifying differentially expressed genes (DEGs) involved in EOC progression and exploiting them as novel biomarkers or therapeutic target...

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Detalles Bibliográficos
Autores principales: Gui, Ting, Yao, Chenhe, Jia, Binghan, Shen, Keng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213194/
https://www.ncbi.nlm.nih.gov/pubmed/34143800
http://dx.doi.org/10.1371/journal.pone.0253136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213194/
https://www.ncbi.nlm.nih.gov/pubmed/34143800
http://dx.doi.org/10.1371/journal.pone.0253136

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