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Improving the identification of antigenic sites in the H1N1 influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model. (2019)

First Author: Davies V
Attributed to:  Mathematical Theory and Biological Applications of Diversity funded by BBSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1111/rssc.12338

PubMed Identifier: 31598013

Publication URI: http://europepmc.org/abstract/MED/31598013

Type: Journal Article/Review

Volume: 68

Parent Publication: Journal of the Royal Statistical Society. Series C, Applied statistics

Issue: 4

ISSN: 0035-9254