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Optimizing Molecular Signatures for Predicting Prostate Cancer Recurrence
BACKGROUND: The derivation of molecular signatures indicative of disease status and predictive of subsequent behavior could facilitate the optimal choice of treatment for prostate cancer patients. METHODS: In this study, we conducted a computational analysis of gene expression profile data obtained...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3425355/ https://ncbi.nlm.nih.gov/pubmed/19343730 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/pros.20961 |
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