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Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies

BACKGROUND: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors from the observed data. We consider such techniques for sparse factor analysis, with application to gene-expression data f...

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Detalles Bibliográficos
Autores principales: Chen, Bo, Chen, Minhua, Paisley, John, Zaas, Aimee, Woods, Christopher, Ginsburg, Geoffrey S, Hero, Alfred, Lucas, Joseph, Dunson, David, Carin, Lawrence
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3098097/
https://www.ncbi.nlm.nih.gov/pubmed/21062443
http://dx.doi.org/10.1186/1471-2105-11-552