A multivariate Poisson deep learning model for genomic prediction of count data
Type:
Title:
A multivariate Poisson deep learning model for genomic prediction of count data
Creator:
Montesinos-Lopez, O.A.;
https://orcid.org/0000-0002-3973-6547
Scopus ID
Items in this Repository
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Montesinos-Lopez, J.C.;
Singh, P.K.;
Lozano-Ramirez, N.;
Barrón-López, A.;
Montesinos-Lopez, A.;
Crossa, J.
Montesinos-Lopez, O.A.
https://orcid.org/0000-0002-3973-6547
Scopus ID
Items in this Repository
View
Montesinos-Lopez, J.C.;
Singh, P.K.;
Lozano-Ramirez, N.;
Barrón-López, A.;
Montesinos-Lopez, A.;
Crossa, J.
Year:
2020
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal:
G3: Genes, Genomes, Genetics
Journal volume:
10
Journal issue:
11
Pages:
4177-4190
Place of Publication:
Bethesda, MD (USA)
Publisher:
Genetics Society of America
