Open AccessPredicting the short-term success of human influenza virus variants with machine learning
Author(s) -
Maryam Hayati,
Priscila Biller,
Caroline Colijn
Publication year - 2020
Publication title -
proceedings of the royal society b biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.342
H-Index - 253
eISSN - 1471-2954
pISSN - 0962-8452
DOI - 10.1098/rspb.2020.0319
Subject(s) - biology , human influenza , influenza a virus , virus , phylogenetic tree , virology , seasonal influenza , artificial intelligence , computational biology , machine learning , computer science , genetics , gene , disease , covid-19 , infectious disease (medical specialty) , medicine , pathology
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