Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Alberto Barrón-López"'
Autor:
Osval Antonio Montesinos-López, Abelardo Montesinos-López, Paulino Pérez-Rodríguez, José Alberto Barrón-López, Johannes W. R. Martini, Silvia Berenice Fajardo-Flores, Laura S. Gaytan-Lugo, Pedro C. Santana-Mancilla, José Crossa
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-23 (2021)
Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction methods have been proposed including the standard additive genetic effect model for which the variance components are estimated with mixed model equations. In recen
Externí odkaz:
https://doaj.org/article/23d67aa0f0254e0aa7e8d030e1660d6b
Autor:
Osval Antonio Montesinos-López, José Cricelio Montesinos-López, Pawan Singh, Nerida Lozano-Ramirez, Alberto Barrón-López, Abelardo Montesinos-López, José Crossa
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 11, Pp 4177-4190 (2020)
The paradigm called genomic selection (GS) is a revolutionary way of developing new plants and animals. This is a predictive methodology, since it uses learning methods to perform its task. Unfortunately, there is no universal model that can be used
Externí odkaz:
https://doaj.org/article/9973a996e43c4834a37fa9c27c261107
Autor:
Osval Antonio Montesinos‐López, Abelardo Montesinos‐López, Carlos Moises Hernandez‐Suarez, José Alberto Barrón‐López, José Crossa
Publikováno v:
The Plant Genome, Vol 14, Iss 3, Pp n/a-n/a (2021)
Abstract Deep learning (DL) is revolutionizing the development of artificial intelligence systems. For example, before 2015, humans were better than artificial machines at classifying images and solving many problems of computer vision (related to ob
Externí odkaz:
https://doaj.org/article/38fa095794c74453ac08f20bcf87606a
Autor:
Paulino Pérez-Rodríguez, Abelardo Montesinos-López, Osval A. Montesinos-López, Pedro C. Santana-Mancilla, José Alberto Barrón-López, Silvia Fajardo-Flores, Johannes W. R. Martini, José Crossa, Laura S. Gaytán-Lugo
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-23 (2021)
BMC Genomics
BMC Genomics
Background Several conventional genomic Bayesian (or no Bayesian) prediction methods have been proposed including the standard additive genetic effect model for which the variance components are estimated with mixed model equations. In recent years,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96fc4da33b9d2444c1f8d6abab6543e7
https://doaj.org/article/23d67aa0f0254e0aa7e8d030e1660d6b
https://doaj.org/article/23d67aa0f0254e0aa7e8d030e1660d6b
Autor:
Alberto Barrón-López, José Crossa, Pawan K. Singh, Nerida Lozano-Ramirez, José Cricelio Montesinos-López, Osval A. Montesinos-López, Abelardo Montesinos-López
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 11, Pp 4177-4190 (2020)
G3: Genes|Genomes|Genetics
G3: Genes|Genomes|Genetics
The paradigm called genomic selection (GS) is a revolutionary way of developing new plants and animals. This is a predictive methodology, since it uses learning methods to perform its task. Unfortunately, there is no universal model that can be used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c0d63f6b7d738e6300dcae4c87ca3c0
https://doi.org/10.1534/g3.120.401631
https://doi.org/10.1534/g3.120.401631
Autor:
Carlos M. Hernández-Suárez, Osval A. Montesinos-López, José Alberto Barrón-López, José Crossa, Abelardo Montesinos-López
Publikováno v:
The Plant Genome, Vol 14, Iss 3, Pp n/a-n/a (2021)
Deep learning (DL) is revolutionizing the development of artificial intelligence systems. For example, before 2015, humans were better than artificial machines at classifying images and solving many problems of computer vision (related to object loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ead9c0e23d5722bde2036c903a78bd6
https://doi.org/10.1002/tpg2.20122
https://doi.org/10.1002/tpg2.20122
Akademický článek
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Autor:
Carlos Elías Peñafiel, José Maximiliano Almeyda Matias, José Alberto Barrón López, Carla G. Marquina Rondinel
Publikováno v:
Anales Científicos. 80:613
El objetivo del presente estudio fue evaluar los aspectos de calidad de la carne: pH, color y textura entre bovinos procedentes de centros de engorde y viajeros. Se evaluaron medias carcasas de 114 toretes agrupados en dos tratamientos: el T1, torete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41ad178d1e64608aa909dfe54cbd407a
https://doi.org/10.21704/ac.v80i2.1513
https://doi.org/10.21704/ac.v80i2.1513
Autor:
Montesinos-López, Osval Antonio1 (AUTHOR), Montesinos-López, Abelardo2 (AUTHOR) aml_uach2004@hotmail.com, Pérez-Rodríguez, Paulino3 (AUTHOR), Barrón-López, José Alberto4 (AUTHOR), Martini, Johannes W. R.5 (AUTHOR), Fajardo-Flores, Silvia Berenice1 (AUTHOR), Gaytan-Lugo, Laura S.6 (AUTHOR), Santana-Mancilla, Pedro C.1 (AUTHOR), Crossa, José3,5 (AUTHOR) j.crossa@cgiar.org
Publikováno v:
BMC Genomics. 1/6/2021, Vol. 22 Issue 1, p1-23. 23p.
Autor:
Montesinos-López, Osval Antonio1, Montesinos-López, José Cricelio2, Singh, Pawan3, Ramirez, Nerida Lozano3, Barrón-López, Alberto4, Montesinos-López, Abelardo5, Crossa, José1,6 j.crossa@cgiar.org
Publikováno v:
G3: Genes | Genomes | Genetics. Nov2020, Vol. 10 Issue 11, p4177-4190. 14p.