Bioinformatics analysis to screen the key prognostic genes in ovarian cancer

BACKGROUND: Ovarian cancer (OC) is a gynecological oncology that has a poor prognosis and high mortality. This study is conducted to identify the key genes implicated in the prognosis of OC by bioinformatic analysis. METHODS: Gene expression data (including 568 primary OC tissues, 17 recurrent OC ti...

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Detalles Bibliográficos
Autores principales: Li, Li, Cai, Shengyun, Liu, Shengnan, Feng, Hao, Zhang, Junjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390356/
https://www.ncbi.nlm.nih.gov/pubmed/28407786
http://dx.doi.org/10.1186/s13048-017-0323-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390356/
https://www.ncbi.nlm.nih.gov/pubmed/28407786
http://dx.doi.org/10.1186/s13048-017-0323-6

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