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Deep learning on butterfly phenotypes tests evolution’s oldest mathematical model
Traditional anatomical analyses captured only a fraction of real phenomic information. Here, we apply deep learning to quantify total phenotypic similarity across 2468 butterfly photographs, covering 38 subspecies from the polymorphic mimicry complex of Heliconius erato and Heliconius melpomene. Euc...
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| Publicado no: | Sci Adv |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association for the Advancement of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6693915/ https://ncbi.nlm.nih.gov/pubmed/31453326 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/sciadv.aaw4967 |
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