Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Felícitas Alejandra Valladares-Anguiano"'
Autor:
Osval A. Montesinos-López, Sofia Ramos-Pulido, Carlos Moisés Hernández-Suárez, Brandon Alejandro Mosqueda González, Felícitas Alejandra Valladares-Anguiano, Paolo Vitale, Abelardo Montesinos-López, José Crossa
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionGenomic selection (GS) has gained global importance due to its potential to accelerate genetic progress and improve the efficiency of breeding programs.Objectives of the researchIn this research we proposed a method to improve the predict
Externí odkaz:
https://doaj.org/article/73541120d2894d3b9cbd8a631542b77a
Autor:
Brandon A Mosqueda-Gonzalez, Felícitas Alejandra Valladares-Anguiano, Pawan K. Singh, Nerida Lozano Ramirez, Abelardo Montesinos-López, José Cricelio Montesinos-López, José Crossa, Osval A. Montesinos-López
Publikováno v:
G3: Genes|Genomes|Genetics
In genomic selection choosing the statistical machine learning model is of paramount importance. In this paper, we present an application of a zero altered random forest model with two versions (ZAP_RF and ZAPC_RF) to deal with excess zeros in count