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Derivation of molecular signatures for breast cancer recurrence prediction using a two-way validation approach

Previous studies have demonstrated the potential value of gene expression signatures in assessing the risk of post-surgical breast cancer recurrence, however, many of these predictive models have been derived using simple computational algorithms and validated internally or using one-way validation...

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Detalhes bibliográficos
Main Authors: Sun, Yijun, Urquidi, Virginia, Steve, Goodison
Formato: Artigo
Idioma:Inglês
Publicado em: 2009
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2844120/
https://ncbi.nlm.nih.gov/pubmed/19291396
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10549-009-0365-6
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