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

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

Abstract 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, sep...

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Bibliographic Details
Main Authors: Alejandro Lopez-Rincon, Alberto Tonda, Lucero Mendoza-Maldonado, Daphne G. J. C. Mulders, Richard Molenkamp, Carmina A. Perez-Romero, Eric Claassen, Johan Garssen, Aletta D. Kraneveld
Format: Article
Language:English
Published: Nature Portfolio 2021-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-80363-5

Internet

https://doi.org/10.1038/s41598-020-80363-5

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