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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| 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 |