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Application of Statistical Learning to Identify Omicron Mutations in SARS-CoV-2 Viral Genome Sequence Data From Populations in Africa and the United States
IMPORTANCE: With timely collection of SARS-CoV-2 viral genome sequences, it is important to apply efficient data analytics to detect emerging variants at the earliest time. OBJECTIVE: To evaluate the application of a statistical learning strategy (SLS) to improve early detection of novel SARS-CoV-2...
Autores principales: | Zhao, Lue Ping, Lybrand, Terry P., Gilbert, Peter, Madeleine, Margaret, Payne, Thomas H., Cohen, Seth, Geraghty, Daniel E., Jerome, Keith R., Corey, Lawrence |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453543/ https://www.ncbi.nlm.nih.gov/pubmed/36069983 http://dx.doi.org/10.1001/jamanetworkopen.2022.30293 |
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