Predicting the short-term success of human influenza virus variants with machine learning (2020)

First Author: Hayati M
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