Predicting the short-term success of human influenza virus variants with machine learning (2020)
Attributed to:
Sequence data and the ecology of pathogens: phylogeny and beyond
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1098/rspb.2020.0319
PubMed Identifier: 32259469
Publication URI: http://europepmc.org/abstract/MED/32259469
Type: Journal Article/Review
Parent Publication: Proceedings of the Royal Society B: Biological Sciences
Issue: 1924
ISSN: 0962-8452