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A zero altered Poisson random forest model for genomic-enabled prediction


Tipo:
Article
Título:
A zero altered Poisson random forest model for genomic-enabled prediction
Creador/a:
Montesinos-Lopez, O.A.;
Montesinos-Lopez, O.A.
ORCID iD iconhttps://orcid.org/0000-0002-3973-6547
ScopusScopus ID
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Montesinos-López, A.;
Mosqueda-Gonzalez, B.A.;
Montesinos-Lopez, J.C.;
Crossa, J.;
ORCID iD icon
Crossa, J.
ORCID iD iconhttps://orcid.org/0000-0001-9429-5855
ScopusScopus ID
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Lozano-Ramirez, N.;
Singh, P.K.;
ORCID iD icon
Singh, P.K.
ORCID iD iconhttps://orcid.org/0000-0003-4610-3120
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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
DOI:
10.1093/g3journal/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.

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