Tracking SARS-CoV-2 Spike Protein Mutations in the United States (January 2020—March 2021) Using a S...
Tracking SARS-CoV-2 Spike Protein Mutations in the United States (January 2020—March 2021) Using a Statistical Learning Strategy
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
The emergence and establishment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of interest (VOIs) and variants of concern (VOCs) highlight the importance of genomic surveillance. We propose a statistical learning strategy (SLS) for identifying and spatiotemporally tracking potentially relevant Spike protein mutations. We a...
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Full title
Tracking SARS-CoV-2 Spike Protein Mutations in the United States (January 2020—March 2021) Using a Statistical Learning Strategy
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TN_cdi_doaj_primary_oai_doaj_org_article_d4e44e424e7b43aca743c98ad3566913
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d4e44e424e7b43aca743c98ad3566913
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ISSN
1999-4915
E-ISSN
1999-4915
DOI
10.3390/v14010009
