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A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses.
Harvey, William T; Davies, Vinny; Daniels, Rodney S; Whittaker, Lynne; Gregory, Victoria; Hay, Alan J; Husmeier, Dirk; McCauley, John W; Reeve, Richard.
  • Harvey WT; Boyd Orr Centre for Population and Ecosystem Health, School of Biodiversity, One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
  • Davies V; School of Computing, College of Science and Engineering, University of Glasgow, Glasgow, United Kingdom.
  • Daniels RS; School of Mathematics and Statistics, College of Science and Engineering, University of Glasgow, Glasgow, United Kingdom.
  • Whittaker L; Worldwide Influenza Centre, The Francis Crick Institute, London, United Kingdom.
  • Gregory V; Worldwide Influenza Centre, The Francis Crick Institute, London, United Kingdom.
  • Hay AJ; Worldwide Influenza Centre, The Francis Crick Institute, London, United Kingdom.
  • Husmeier D; Worldwide Influenza Centre, The Francis Crick Institute, London, United Kingdom.
  • McCauley JW; School of Mathematics and Statistics, College of Science and Engineering, University of Glasgow, Glasgow, United Kingdom.
  • Reeve R; Worldwide Influenza Centre, The Francis Crick Institute, London, United Kingdom.
PLoS Comput Biol ; 19(3): e1010885, 2023 03.
Article en En | MEDLINE | ID: mdl-36972311
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Virus de la Influenza A / Gripe Humana / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Virus de la Influenza A / Gripe Humana / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article