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Prediction of non-muscle invasive bladder cancer outcomes assessed by innovative multimarker prognostic models
BACKGROUND: We adapted Bayesian statistical learning strategies to the prognosis field to investigate if genome-wide common SNP improve the prediction ability of clinico-pathological prognosticators and applied it to non-muscle invasive bladder cancer (NMIBC) patients. METHODS: Adapted Bayesian sequ...
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| Publicado no: | BMC Cancer |
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| Main Authors: | , , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4893282/ https://ncbi.nlm.nih.gov/pubmed/27259534 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12885-016-2361-7 |
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