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Mostrando ítems 1-3 de 3
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Machine learning algorithms identified relevant SNPs for milk fat content in cattle
Ríos, Pablo J.; Raschia, Maria Agustina; Maizon, Daniel Omar; Demitrio, Daniel Arturo; Poli, Mario Andres (Sociedad Argentina de Informática, 2021-10)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 ... -
Methodology for the identification of relevant loci for milk traits in dairy cattle, using machine learning algorithms
Raschia, Maria Agustina; Ríos, Pablo Javier; Maizon, Daniel Omar; Demitrio, Daniel Arturo; Poli, Mario Andres (Elsevier, 2022)Machine learning methods were considered efficient in identifying single nucleotide polymorphisms (SNP) underlying a trait of interest. This study aimed to construct predictive models using machine learning algorithms, to ... -
Relevant loci for milk production in dairy cattle, obtained by machine learning algorithms
Raschia, Maria Agustina; Ríos, Pablo J.; Maizon, Daniel Omar; Demitrio, Daniel Arturo; Poli, Mario Andres (Network of Women in Bioinformatics and Data Science, 2021-09)Background: Extensive genetic research focused on identifyng associations between single nucleotide polymorphism (SNP) markers located all over the genome and milk traits were conducted for different dairy cattle breeds. ...