Improving the identification of antigenic sites in the H1N1 influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model
Davies et al. (2019) J Royal Stat Soc C
The molecular basis of antigenic variation among A(H9N2) avian influenza viruses
Peacock et al. (2018) Emerg Infect Dis
Integrating patient and whole genome sequencing data to provide insights into the epidemiology of seasonal influenza A(H3N2) viruses
Goldstein et al. (2017) Microb Genom
A sparse hierarchical Bayesian model for detecting relevant antigenicsites in virus evolution
Davies et al. (2017) Comput Stat
Identification of low- and high-impact hemagglutinin amino acid substitutions that drive antigenic drift of influenza A(H1N1) viruses
Harvey et al. (2016) PLoS Pathogens
Tracking the antigenic evolution of foot-and-mouth disease virus
Selecting random effect components in a sparse hierarchical Bayesian model for identifying antigenic variability
Sparse Bayesian variable selection for the identification of antigenic variability in the foot-and-mouth disease virus
