Prediction of Recurrent Mutations in SARS-CoV-2 Using Artificial Neural Networks

Predicting SARS-CoV-2 mutations is difficult, but predicting recurrent mutations driven by the host, such as those caused by host deaminases, is feasible. We used machine learning to predict which positions from the SARS-CoV-2 genome will hold a recurrent mutation and which mutations will be the mos...

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Detalles Bibliográficos
Autores principales: Saldivar-Espinoza, Bryan, Macip, Guillem, Garcia-Segura, Pol, Mestres-Truyol, Júlia, Puigbò, Pere, Cereto-Massagué, Adrià, Pujadas, Gerard, Garcia-Vallve, Santiago
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736107/
https://www.ncbi.nlm.nih.gov/pubmed/36499005
http://dx.doi.org/10.3390/ijms232314683

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736107/
https://www.ncbi.nlm.nih.gov/pubmed/36499005
http://dx.doi.org/10.3390/ijms232314683

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