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Mostrando ítems 1-3 de 3

    • 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 ...

    • Preliminary genome-wide association study for skin traits in an Angora x creole backcross population 

      Cano Pereira, Ema Margarita; Debenedetti, Sebastián; Giovannini, Nicolas; Taddeo, Héctor Raúl; Poli, Mario Andres (Masey University (Nueva Zelanda), 2018-02)
      Angora goat produce mainly mohair fiber but the Creole goats have a double hair coat: cashmere, fine and short seasonal down coat and coarser and longer guard hair. Both, mohair and cashmere fiber are determined by two ...

    • 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. ...