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Predicting antigenic variants of H1N1 influenza virus based on epidemics and pandemics using a stacking model
H1N1 is the earliest emerging subtype of influenza A viruses with available genomic sequences, has caused several pandemics and seasonal epidemics, resulting in millions of deaths and enormous economic losses. Timely determination of new antigenic variants is crucial for the vaccine selection and fl...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6303045/ https://ncbi.nlm.nih.gov/pubmed/30576319 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0207777 |
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