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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Hlavní autoři: Chen, Bo, Chen, Minhua, Paisley, John, Zaas, Aimee, Woods, Christopher, Ginsburg, Geoffrey S, Hero, Alfred, Lucas, Joseph, Dunson, David, Carin, Lawrence
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2010
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Research Article
On-line přístup: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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