A comparison of machine learning techniques for survival prediction in breast cancer

BACKGROUND: The ability to accurately classify cancer patients into risk classes, i.e. to predict the outcome of the pathology on an individual basis, is a key ingredient in making therapeutic decisions. In recent years gene expression data have been successfully used to complement the clinical and...

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Detalles Bibliográficos
Autores principales: Vanneschi, Leonardo, Farinaccio, Antonella, Mauri, Giancarlo, Antoniotti, Mauro, Provero, Paolo, Giacobini, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3108919/
https://www.ncbi.nlm.nih.gov/pubmed/21569330
http://dx.doi.org/10.1186/1756-0381-4-12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3108919/
https://www.ncbi.nlm.nih.gov/pubmed/21569330
http://dx.doi.org/10.1186/1756-0381-4-12

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