Towards Efficient and Accurate SARS-CoV-2 Genome Sequence Typing Based on Supervised Learning Approaches

Despite the active development of SARS-CoV-2 surveillance methods (e.g., Nextstrain, GISAID, Pangolin), the global emergence of various SARS-CoV-2 viral lineages that potentially cause antiviral and vaccine failure has driven the need for accurate and efficient SARS-CoV-2 genome sequence classifiers...

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Detalles Bibliográficos
Autores principales: Miao, Miao, De Clercq, Erik, Li, Guangdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505117/
https://www.ncbi.nlm.nih.gov/pubmed/36144387
http://dx.doi.org/10.3390/microorganisms10091785

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505117/
https://www.ncbi.nlm.nih.gov/pubmed/36144387
http://dx.doi.org/10.3390/microorganisms10091785

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