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Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis
Ovarian cancer (OC) is the highest frequent malignant gynecologic tumor with very complicated pathogenesis. The purpose of the present academic work was to identify significant genes with poor outcome and their underlying mechanisms. Gene expression profiles of GSE36668, GSE14407 and GSE18520 were a...
Autores principales: | Feng, Hao, Gu, Zhong-Yi, Li, Qin, Liu, Qiong-Hua, Yang, Xiao-Yu, Zhang, Jun-Jie |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6477749/ https://www.ncbi.nlm.nih.gov/pubmed/31010415 http://dx.doi.org/10.1186/s13048-019-0508-2 |
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