Using natural history to guide supervised machine learning for cryptic species delimitation with genetic data
Abstract 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 multispec...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2022-02-01
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| Series: | Frontiers in Zoology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12983-022-00453-0 |