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Metaviromic identification of discriminative genomic features in SARS-CoV-2 using machine learning
The COVID-19 pandemic caused by SARS-CoV-2 has become a major threat across the globe. Here, we developed machine learning approaches to identify key pathogenic regions in coronavirus genomes. We trained and evaluated 7,562,625 models on 3,665 genomes including SARS-CoV-2, MERS-CoV, SARS-CoV, and ot...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598947/ https://www.ncbi.nlm.nih.gov/pubmed/34812427 http://dx.doi.org/10.1016/j.patter.2021.100407 |