Improving the Identification of Antigenic Sites in the H1N1 Influenza Virus Through Accounting for the Experimental Structure in a Sparse Hierarchical Bayesian Model (2019)
Attributed to:
Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics
funded by
EPSRC
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
Parent Publication: Journal of the Royal Statistical Society Series C: Applied Statistics
Issue: 4
ISSN: 0035-9254