COVID-19 prediction based on genome similarity of human SARS-CoV-2 and bat SARS-CoV-like coronavirus

This paper proposes an efficient and accurate method to predict coronavirus disease 19 (COVID-19) based on the genome similarity of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and a bat SARS-CoV-like coronavirus. We introduce similarity features to distinguish COVID-19 from othe...

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Detalles Bibliográficos
Autor principal: Arslan, Hilal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423779/
https://www.ncbi.nlm.nih.gov/pubmed/34511707
http://dx.doi.org/10.1016/j.cie.2021.107666

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423779/
https://www.ncbi.nlm.nih.gov/pubmed/34511707
http://dx.doi.org/10.1016/j.cie.2021.107666

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