Phylogenetic inference using generative adversarial networks

MOTIVATION: The application of machine learning approaches in phylogenetics has been impeded by the vast model space associated with inference. Supervised machine learning approaches require data from across this space to train models. Because of this, previous approaches have typically been limited...

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Detalles Bibliográficos
Autores principales: Smith, Megan L, Hahn, Matthew W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500083/
https://www.ncbi.nlm.nih.gov/pubmed/37669126
http://dx.doi.org/10.1093/bioinformatics/btad543

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500083/
https://www.ncbi.nlm.nih.gov/pubmed/37669126
http://dx.doi.org/10.1093/bioinformatics/btad543

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