A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses
W. T. Harvey, V. Davies, R. S. Daniels, L. Whittaker, V. Gregory, A. J. Hay, D. Husmeier, J. W. McCauley, R. Reeve
This paper uses a Bayesian model to identify genetic changes in influenza A(H3N2) viruses that drive antigenic drift by incorporating protein structural data to improve variable selection accuracy.
bioRxiv · Mar 26, 2022Microbiology