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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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| Publicado no: | Onco Targets Ther |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Dove Medical Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5858852/ https://ncbi.nlm.nih.gov/pubmed/29588600 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/OTT.S152238 |
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