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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Detalhes bibliográficos
Main Authors: Chen, Bo, Chen, Minhua, Paisley, John, Zaas, Aimee, Woods, Christopher, Ginsburg, Geoffrey S, Hero, Alfred, Lucas, Joseph, Dunson, David, Carin, Lawrence
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2010
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Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3098097/
https://ncbi.nlm.nih.gov/pubmed/21062443
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-552
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