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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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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2009
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| Matèries: | |
| Accés en línia: | 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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