Machine learning algorithms identified relevant SNPs for milk fat content in cattle
In recent years, machine learning methods have been shown to be efficient in identifying a subset of single nucleotide polymorphisms (SNP) underlying a trait of interest. The aim of this study was the construction of predictive models using machine learning algorithms, for the identification of lo...
| Autores principales: | , , , , |
|---|---|
| Formato: | info:ar-repo/semantics/documento de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
Sociedad Argentina de Informática
2022
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/11706 |
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