Gene Selection using a High-Dimensional Regression Model with Microarrays in Cancer Prognostic Studies

Mining of gene expression data to identify genes associated with patient survival is an ongoing problem in cancer prognostic studies using microarrays in order to use such genes to achieve more accurate prognoses. The least absolute shrinkage and selection operator (lasso) is often used for gene sel...

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Detalles Bibliográficos
Autores principales: Kaneko, Shuhei, Hirakawa, Akihiro, Hamada, Chikuma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2012
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3298378/
https://www.ncbi.nlm.nih.gov/pubmed/22442625
http://dx.doi.org/10.4137/CIN.S9048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3298378/
https://www.ncbi.nlm.nih.gov/pubmed/22442625
http://dx.doi.org/10.4137/CIN.S9048

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