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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Detalles Bibliográficos
Autores principales: Li, Jie, Lenferink, Anne E.G., Deng, Yinghai, Collins, Catherine, Cui, Qinghua, Purisima, Enrico O., O'Connor-McCourt, Maureen D., Wang, Edwin
Formato: Texto
Lenguaje:English
Publicado: Nature Pub. Group 2010
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2972666/
https://www.ncbi.nlm.nih.gov/pubmed/20975711
http://dx.doi.org/10.1038/ncomms1033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2972666/
https://www.ncbi.nlm.nih.gov/pubmed/20975711
http://dx.doi.org/10.1038/ncomms1033

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