Papers

Improving the identification of antigenic sites in the H1N1 influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model

davies2017b

Davies et al. (2019) J Royal Stat Soc C


The molecular basis of antigenic variation among A(H9N2) avian influenza viruses

2018peacockN

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

goldstein2017

Goldstein et al. (2017) Microb Genom


A sparse hierarchical Bayesian model for detecting relevant antigenicsites in virus evolution

Davies2017

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

harvey2016

Harvey et al. (2016) PLoS Pathogens


Tracking the antigenic evolution of foot-and-mouth disease virus

reeve2016

Reeve et al. (2016) PLoS ONE


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

davies2016

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

davies2014

Davies et al. (2014) JMLR Workshop Conf Proc