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Risk prediction model for epithelial ovarian cancer using molecular markers and clinical characteristics
BACKGROUND: A high-quality risk prediction model is urgently needed for the clinical management of ovarian cancer. However most existing models are solely based on clinical parameters, and molecular classifications in recent reports are still being debated. This study aimed to establish a risk predi...
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| Publicado no: | J Ovarian Res |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4618052/ https://ncbi.nlm.nih.gov/pubmed/26490766 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13048-015-0195-6 |
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