Unsupervised machine learning for species delimitation, integrative taxonomy, and biodiversity conservation.
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| Title: | Unsupervised machine learning for species delimitation, integrative taxonomy, and biodiversity conservation. |
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| Authors: | Alexander Pyron R; Department of Biological Sciences, The George Washington University, Washington, DC 20052 USA. Electronic address: rpyron@colubroid.org. |
| Source: | Molecular phylogenetics and evolution [Mol Phylogenet Evol] 2023 Dec; Vol. 189, pp. 107939. Date of Electronic Publication: 2023 Oct 05. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Academic Press Country of Publication: United States NLM ID: 9304400 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9513 (Electronic) Linking ISSN: 10557903 NLM ISO Abbreviation: Mol Phylogenet Evol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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