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Learning from prepandemic data to forecast viral escape.
Thadani, Nicole N; Gurev, Sarah; Notin, Pascal; Youssef, Noor; Rollins, Nathan J; Ritter, Daniel; Sander, Chris; Gal, Yarin; Marks, Debora S.
Afiliação
  • Thadani NN; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Gurev S; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Notin P; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA.
  • Youssef N; OATML Group, Department of Computer Science, University of Oxford, Oxford, UK.
  • Rollins NJ; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Ritter D; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Sander C; Seismic Therapeutic, Watertown, MA, USA.
  • Gal Y; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Marks DS; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
Nature ; 622(7984): 818-825, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37821700
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vírus / Evolução Molecular / Evasão da Resposta Imune / Pandemias / Previsões / Mutação Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vírus / Evolução Molecular / Evasão da Resposta Imune / Pandemias / Previsões / Mutação Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article