Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Carlos M. Hernández-Suarez"'
Autor:
Sergio A. Zaizar-Fregoso, Agustin Lara-Esqueda, Carlos M. Hernández-Suarez, Josuel Delgado-Enciso, Arturo Garcia-Nevares, Luis M. Canseco-Avila, Jose Guzman-Esquivel, Iram P. Rodriguez-Sanchez, Margarita L. Martinez-Fierro, Gabriel Ceja-Espiritu, Hector Ochoa-Díaz-Lopez, Francisco Espinoza-Gomez, Iyari Sanchez-Diaz, Ivan Delgado-Enciso
Publikováno v:
Journal of Diabetes Research, Vol 2023 (2023)
Diabetes mellitus is a disease with no cure that can cause complications and even death. Moreover, over time, it will lead to chronic complications. Predictive models have been used to identify people with a tendency to develop diabetes mellitus. At
Externí odkaz:
https://doaj.org/article/9cfce0fbcf834f8194a3d99df69b31c1
Autor:
Osval A. Montesinos-López, Javier Martín-Vallejo, José Crossa, Daniel Gianola, Carlos M. Hernández-Suárez, Abelardo Montesinos-López, Philomin Juliana, Ravi Singh
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 9, Iss 5, Pp 1545-1556 (2019)
Multiple-trait experiments with mixed phenotypes (binary, ordinal and continuous) are not rare in animal and plant breeding programs. However, there is a lack of statistical models that can exploit the correlation between traits with mixed phenotypes
Externí odkaz:
https://doaj.org/article/389637c77cb344a7b45a7d791985cfcb
Autor:
Osval A. Montesinos-López, Javier Martín-Vallejo, José Crossa, Daniel Gianola, Carlos M. Hernández-Suárez, Abelardo Montesinos-López, Philomin Juliana, Ravi Singh
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 9, Iss 2, Pp 601-618 (2019)
Genomic selection is revolutionizing plant breeding. However, still lacking are better statistical models for ordinal phenotypes to improve the accuracy of the selection of candidate genotypes. For this reason, in this paper we explore the genomic ba
Externí odkaz:
https://doaj.org/article/8443746e36444f5196a2933340afc13f
Autor:
Abelardo Montesinos-López, Osval A. Montesinos-López, Daniel Gianola, José Crossa, Carlos M. Hernández-Suárez
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 8, Iss 12, Pp 3813-3828 (2018)
Genomic selection is revolutionizing plant breeding and therefore methods that improve prediction accuracy are useful. For this reason, active research is being conducted to build and test methods from other areas and adapt them to the context of gen
Externí odkaz:
https://doaj.org/article/d88f5c22f3c54d70a62afd5d78a702ca
Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits
Autor:
Osval A. Montesinos-López, Abelardo Montesinos-López, José Crossa, Daniel Gianola, Carlos M. Hernández-Suárez, Javier Martín-Vallejo
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 8, Iss 12, Pp 3829-3840 (2018)
Multi-trait and multi-environment data are common in animal and plant breeding programs. However, what is lacking are more powerful statistical models that can exploit the correlation between traits to improve prediction accuracy in the context of ge
Externí odkaz:
https://doaj.org/article/c08c5a7898f64a57af43de103f7548e9
Publikováno v:
Global Health Action, Vol 9, Iss 0, Pp 1-7 (2016)
Introduction: Dengue fever is an important vector-transmitted disease that affects more than 100 countries worldwide. Locations where individuals tend to gather may play an important role in disease transmission in the presence of the vector. By cont
Externí odkaz:
https://doaj.org/article/286625d09f5c40ecbd67cbe72354d5d8