Merging microarray data, robust feature selection, and predicting prognosis in prostate cancer

MOTIVATION: Individual microarray studies searching for prognostic biomarkers often have few samples and low statistical power; however, publicly accessible data sets make it possible to combine data across studies. METHOD: We present a novel approach for combining microarray data across institution...

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Detalles Bibliográficos
Autores principales: Wang, Jing, Do, Kim Anh, Wen, Sijin, Tsavachidis, Spyros, McDonnell, Timothy J., Logothetis, Christopher J., Coombes, Kevin R.
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2007
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2675498/
https://www.ncbi.nlm.nih.gov/pubmed/19458761

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2675498/
https://www.ncbi.nlm.nih.gov/pubmed/19458761

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