Bayesian inference of the number of factors in gene-expression analysis: application to human virus...
Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Contents
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 from three virus challenge studies. Particular attention is pla...
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Full title
Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies
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TN_cdi_doaj_primary_oai_doaj_org_article_b3e0c6ccd7c94428897addd5986e502b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b3e0c6ccd7c94428897addd5986e502b
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ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/1471-2105-11-552
