Infinite mixture-of-experts model for sparse survival regression with application to breast cancer

BACKGROUND: We present an infinite mixture-of-experts model to find an unknown number of sub-groups within a given patient cohort based on survival analysis. The effect of patient features on survival is modeled using the Cox’s proportionality hazards model which yields a non-standard regression com...

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Detalles Bibliográficos
Autores principales: Raman, Sudhir, Fuchs, Thomas J, Wild, Peter J, Dahl, Edgar, Buhmann, Joachim M, Roth, Volker
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2966295/
https://www.ncbi.nlm.nih.gov/pubmed/21034433
http://dx.doi.org/10.1186/1471-2105-11-S8-S8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2966295/
https://www.ncbi.nlm.nih.gov/pubmed/21034433
http://dx.doi.org/10.1186/1471-2105-11-S8-S8

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