Improving the identification of antigenic sites in the H1N1 influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model.

Davies, Vinny; Harvey, William T; Reeve, Richard; Husmeier, Dirk

Davies, Vinny; Harvey, William T; Reeve, Richard; Husmeier, Dirk.

Afiliação

Davies V; University of Glasgow UK.
Harvey WT; University of Glasgow UK.
Reeve R; University of Glasgow UK.
Husmeier D; University of Glasgow UK.

J R Stat Soc Ser C Appl Stat ; 68(4): 859-885, 2019 Aug.

Article em En | MEDLINE | ID: mdl-31598013

Palavras-chave

Antigenic variability; Bayesian hierarchical models; Influenza virus; Latent variable models; Markov chain Monte Carlo sampling; Mixed effects models; Spikeandslab prior; Widely applicable information criterion

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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