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  5. Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine

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Article
en
2021

Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine

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0 Files

en
2021
Vol 6 (2)
Vol. 6
DOI: 10.1128/msphere.00920-20

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Michael Zeller
Michael Zeller

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Tavis K. Anderson
Michael Zeller
Phillip C. Gauger
+3 more

Abstract

Influenza A viruses (IAV) in swine constitute a major economic burden to an important global agricultural sector, impact food security, and are a public health threat. Despite significant improvement in surveillance for IAV in swine over the past 10 years, sequence data have not been integrated into a systematic vaccine strain selection process for predicting antigenic phenotype and identifying determinants of antigenic drift.

How to cite this publication

Tavis K. Anderson, Michael Zeller, Phillip C. Gauger, Zebulun Arendsee, Carine K. Souza, Amy L. Vincent (2021). Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine. , 6(2), DOI: https://doi.org/10.1128/msphere.00920-20.

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Publication Details

Type

Article

Year

2021

Authors

6

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1128/msphere.00920-20

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