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Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks
Widely applicable, accurate and fast inference methods in phylodynamics are needed to fully profit from the richness of genetic data in uncovering the dynamics of epidemics. Standard methods, including maximum-likelihood and Bayesian approaches, generally rely on complex mathematical formulae and ap...
| 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/PMC9258765/ https://www.ncbi.nlm.nih.gov/pubmed/35794110 http://dx.doi.org/10.1038/s41467-022-31511-0 |