Viral reverse engineering using Artificial Intelligence and big data COVID-19 infection with Long Short-term Memory (LSTM)

This research presents a reverse engineering approach to discover the patterns and evolution behavior of SARS-CoV-2 using AI and big data. Accordingly, we have studied five viral families (Orthomyxoviridae, Retroviridae, Filoviridae, Flaviviridae, and Coronaviridae) that happened in the era of the p...

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Detalles Bibliográficos
Autores principales: Haimed, Ahmad M. Abu, Saba, Tanzila, Albasha, Ayman, Rehman, Amjad, Kolivand, Mahyar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016547/
https://www.ncbi.nlm.nih.gov/pubmed/33824882
http://dx.doi.org/10.1016/j.eti.2021.101531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016547/
https://www.ncbi.nlm.nih.gov/pubmed/33824882
http://dx.doi.org/10.1016/j.eti.2021.101531

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