Learning Hyperbolic Embedding for Phylogenetic Tree Placement and Updates

SIMPLE SUMMARY: We show how the conventional (Euclidean) deep learning methods developed for phylogenetics can benefit from using hyperbolic geometry. The results point to lowered distance distortion and better accuracy in updating trees but not necessarily for phylogenetic placement. ABSTRACT: Phyl...

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Detalles Bibliográficos
Autores principales: Jiang, Yueyu, Tabaghi, Puoya, Mirarab, Siavash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495508/
https://www.ncbi.nlm.nih.gov/pubmed/36138735
http://dx.doi.org/10.3390/biology11091256

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495508/
https://www.ncbi.nlm.nih.gov/pubmed/36138735
http://dx.doi.org/10.3390/biology11091256

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