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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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| Publicado no: | Ecol Evol |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2019
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| Assuntos: | |
| Acesso em linha: | 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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