A zero altered Poisson random forest model for genomic-enabled prediction
Tipo:
Título:
A zero altered Poisson random forest model for genomic-enabled prediction
Creador/a:
Montesinos-Lopez, O.A.;
https://orcid.org/0000-0002-3973-6547
Scopus ID
Items in this Repository
View
Montesinos-López, A.;
Mosqueda-Gonzalez, B.A.;
Montesinos-Lopez, J.C.;
Crossa, J.;
Lozano-Ramirez, N.;
Singh, P.K.;
Valladares-Anguiano, F.A.
Montesinos-Lopez, O.A.


View
Montesinos-López, A.;
Mosqueda-Gonzalez, B.A.;
Montesinos-Lopez, J.C.;
Crossa, J.;

Lozano-Ramirez, N.;
Singh, P.K.;

Valladares-Anguiano, F.A.
Año:
2021
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
Revista:
G3: Genes, Genomes, Genetics
Volumen de la Revista:
11
No de Revista:
2
Número de artículo:
jkaa057
Lugar de publicación:
Bethesda, MD (USA)
Editor:
Genetics Society of America
Cita:
A zero altered Poisson random forest model for genomic-enabled prediction. 2021. 11 (2) DOI: 10.1093/g3journal/jkaa057 Genetics Society of America.