Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning

In this paper, deep learning is coupled with explainable artificial intelligence techniques for the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural network classifier is first trained on 553 sequences from the National Genomics Data Center repository, separating t...

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Detalles Bibliográficos
Autores principales: Lopez-Rincon, Alejandro, Tonda, Alberto, Mendoza-Maldonado, Lucero, Mulders, Daphne G. J. C., Molenkamp, Richard, Perez-Romero, Carmina A., Claassen, Eric, Garssen, Johan, Kraneveld, Aletta D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806918/
https://www.ncbi.nlm.nih.gov/pubmed/33441822
http://dx.doi.org/10.1038/s41598-020-80363-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806918/
https://www.ncbi.nlm.nih.gov/pubmed/33441822
http://dx.doi.org/10.1038/s41598-020-80363-5

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