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Identification of high-quality cancer prognostic markers and metastasis network modules
Cancer patients are often overtreated because of a failure to identify low-risk cancer patients. Thus far, no algorithm has been able to successfully generate cancer prognostic gene signatures with high accuracy and robustness in order to identify these patients. In this paper, we developed an algor...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Pub. Group
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2972666/ https://ncbi.nlm.nih.gov/pubmed/20975711 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms1033 |
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