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...

Descripción completa

Detalles Bibliográficos
Autores principales: Voznica, J., Zhukova, A., Boskova, V., Saulnier, E., Lemoine, F., Moslonka-Lefebvre, M., Gascuel, O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

Ejemplares similares