Cargando…
A Bayesian Poisson-lognormal Model for Count Data for Multiple-Trait Multiple-Environment Genomic-Enabled Prediction
When a plant scientist wishes to make genomic-enabled predictions of multiple traits measured in multiple individuals in multiple environments, the most common strategy for performing the analysis is to use a single trait at a time taking into account genotype × environment interaction (G × E), beca...
Autores principales: | Montesinos-López, Osval A., Montesinos-López, Abelardo, Crossa, José, Toledo, Fernando H., Montesinos-López, José C., Singh, Pawan, Juliana, Philomin, Salinas-Ruiz, Josafhat |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5427491/ https://www.ncbi.nlm.nih.gov/pubmed/28364037 http://dx.doi.org/10.1534/g3.117.039974 |
Ejemplares similares
-
A Multivariate Poisson Deep Learning Model for Genomic Prediction of Count Data
por: Montesinos-López, Osval Antonio, et al.
Publicado: (2020) -
A singular value decomposition Bayesian multiple-trait and multiple-environment genomic model
por: Montesinos-López, Osval A., et al.
Publicado: (2018) -
A zero altered Poisson random forest model for genomic-enabled prediction
por: Montesinos-López, Osval Antonio, et al.
Publicado: (2020) -
Prediction of Multiple-Trait and Multiple-Environment Genomic Data Using Recommender Systems
por: Montesinos-López, Osval A., et al.
Publicado: (2018) -
Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression
por: Montesinos-López, Osval A., et al.
Publicado: (2015)