Open AccessTracking SARS-CoV-2 Spike Protein Mutations in the United States (2020/01 – 2021/03) Using a Statistical Learning Strategy
Author(s) -
Lue Ping Zhao,
Terry P. Lybrand,
Peter B. Gilbert,
Thomas R. Hawn,
Joshua T. Schiffer,
Leonidas Stamatatos,
Thomas H. Payne,
Lindsay N. Carpp,
Daniel E. Geraghty,
Keith R. Jerome
Publication year - 2021
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.3844900
Subject(s) - spike (software development) , haplotype , spike protein , covid-19 , computational biology , identification (biology) , biology , genetics , artificial intelligence , evolutionary biology , mutation , gene , computer science , medicine , ecology , software engineering , disease , pathology , virology , outbreak , infectious disease (medical specialty) , genotype
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