Título

Replication Data for: A multivariate Poisson deep learning model for genomic prediction of count data

Autor

Osval Antonio Montesinos-Lopez

Pawan Singh

Jose Crossa

Nivel de Acceso

Acceso Abierto

Licencia

http://creativecommons.org/licenses/by/4.0

Materias

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA - (CTI)

Descripción

Abstracto - Genomic selection (GS) is an important method used in plant and animal breeding. The experimental data provided in this study contain counting data. These datasets were used to support research on efficient methodologies for multivariate count data outcomes including a multivariate Poisson deep neural network (MPDN) model, a conventional multivariate generalized Poisson regression model, and a univariate Poisson deep learning models. The results of the analyses are presented in a corresponding publication.

Editor

International Maize and Wheat Improvement Center

Fecha de publicación

2020

Tipo de recurso

Dataset

Recurso de información

http://hdl.handle.net/11529/10548438

Repositorio Orígen

Repositorio Institucional de Datos y Software de Investigación del CIMMYT

Descargas

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