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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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-36972311
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Influenza A virus / Influenza, Human / COVID-19 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: United kingdom
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Influenza A virus / Influenza, Human / COVID-19 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: United kingdom