Rapidly Identifying New Coronavirus Mutations of Potential Concern in the Omicron Variant Using an Unsupervised Learning Strategy

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Extensive mutations in the Omicron spike protein appear to accelerate the transmission of SARS-CoV-2, and rapid infections increase the odds that additional mutants will emerge. To build an investigative framework, we have applied an unsupervised machine learning approach to 4296 Omicron viral genom...

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Detalles Bibliográficos
Autores principales: Zhao, Lue Ping, Lybrand, Terry, Gilbert, Peter, Payne, Thomas H., Pyo, Chul-Woo, Geraghty, Daniel, Jerome, Keith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8887078/
https://www.ncbi.nlm.nih.gov/pubmed/35233566
http://dx.doi.org/10.21203/rs.3.rs-1280819/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8887078/
https://www.ncbi.nlm.nih.gov/pubmed/35233566
http://dx.doi.org/10.21203/rs.3.rs-1280819/v1

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