Using natural history to guide supervised machine learning for cryptic species delimitation with genetic data

The diversity of biological and ecological characteristics of organisms, and the underlying genetic patterns and processes of speciation, makes the development of universally applicable genetic species delimitation methods challenging. Many approaches, like those incorporating the multispecies coale...

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Detalles Bibliográficos
Autores principales: Derkarabetian, Shahan, Starrett, James, Hedin, Marshal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8862334/
https://www.ncbi.nlm.nih.gov/pubmed/35193622
http://dx.doi.org/10.1186/s12983-022-00453-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8862334/
https://www.ncbi.nlm.nih.gov/pubmed/35193622
http://dx.doi.org/10.1186/s12983-022-00453-0

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