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Efficient phenotypic sex classification of zebrafish using machine learning methods
Sex determination in zebrafish by manual approaches according to current guidelines relies on human observation. These guidelines for sex recognition have proven to be subjective and highly labor‐intensive. To address this problem, we present a methodology to automatically classify the phenotypic se...
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| Publicat a: | Ecol Evol |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
John Wiley and Sons Inc.
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6912926/ https://ncbi.nlm.nih.gov/pubmed/31871648 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/ece3.5788 |
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