Identification of differentially expressed genes and signaling pathways in ovarian cancer by integrated bioinformatics analysis

BACKGROUND: The mortality rate associated with ovarian cancer ranks the highest among gynecological malignancies. However, the cause and underlying molecular events of ovarian cancer are not clear. Here, we applied integrated bioinformatics to identify key pathogenic genes involved in ovarian cancer...

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Detalles Bibliográficos
Autores principales: Yang, Xiao, Zhu, Shaoming, Li, Li, Zhang, Li, Xian, Shu, Wang, Yanqing, Cheng, Yanxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5858852/
https://www.ncbi.nlm.nih.gov/pubmed/29588600
http://dx.doi.org/10.2147/OTT.S152238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5858852/
https://www.ncbi.nlm.nih.gov/pubmed/29588600
http://dx.doi.org/10.2147/OTT.S152238

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