Using machine learning to detect coronaviruses potentially infectious to humans

Establishing the host range for novel viruses remains a challenge. Here, we address the challenge of identifying non-human animal coronaviruses that may infect humans by creating an artificial neural network model that learns from spike protein sequences of alpha and beta coronaviruses and their bin...

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Detalles Bibliográficos
Autores principales: Gonzalez-Isunza, Georgina, Jawaid, M. Zaki, Liu, Pengyu, Cox, Daniel L., Vazquez, Mariel, Arsuaga, Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248971/
https://www.ncbi.nlm.nih.gov/pubmed/37291260
http://dx.doi.org/10.1038/s41598-023-35861-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248971/
https://www.ncbi.nlm.nih.gov/pubmed/37291260
http://dx.doi.org/10.1038/s41598-023-35861-7

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