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Variant-driven early warning via unsupervised machine learning analysis of spike protein mutations for COVID-19
Never before such a vast amount of data, including genome sequencing, has been collected for any viral pandemic than for the current case of COVID-19. This offers the possibility to trace the virus evolution and to assess the role mutations play in its spread within the population, in real time. To...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166699/ https://www.ncbi.nlm.nih.gov/pubmed/35661750 http://dx.doi.org/10.1038/s41598-022-12442-8 |