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


Reeve et al. (2016) PLoS ONE

Selecting random effect components in a sparse hierarchical Bayesian model for identifying antigenic variability


Davies et al. (2016) In: Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2015. Lecture Notes in Computer Science

 Sparse Bayesian variable selection for the identification of antigenic variability in the foot-and-mouth disease virus


Davies et al. (2014) JMLR Workshop Conf Proc