Now showing items 1-3 of 3
A zero altered Poisson random forest model for genomic-enabled prediction
(Genetics Society of America, 2021)
A multivariate Poisson deep learning model for genomic prediction of count data
(Genetics Society of America, 2020)
A bayesian poisson-lognormal model for count data for multiple-trait multiple-environment genomic-enabled prediction
(Genetics Society of America, 2017)
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 ...