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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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Detalles Bibliográficos
Main Authors: Sun, Yijun, Goodison, Steve
Formato: Artigo
Idioma:Inglês
Publicado: 2009
Assuntos:
Acceso en liña: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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