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A comparison between three tuning strategies for gaussian kernels in the context of univariate genomic prediction


Type:
Article
Title:
A comparison between three tuning strategies for gaussian kernels in the context of univariate genomic prediction
Creator:
Montesinos-Lopez, O.A.;
Montesinos-Lopez, O.A.
ORCID iD iconhttps://orcid.org/0000-0002-3973-6547
ScopusScopus ID
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Carter, A.;
Carter, A.
ORCID iD iconhttps://orcid.org/0000-0002-8019-6554
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Bernal Sandoval, D.A.;
Cano-Paez, B.;
Montesinos-Lopez, A.;
Crossa, J.
ORCID iD icon
Crossa, J.
ORCID iD iconhttps://orcid.org/0000-0001-9429-5855
ScopusScopus ID
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Year:
2022
URI:
https://hdl.handle.net/10883/22400
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:
Genes
Journal volume:
13
Journal issue:
12 art. 2282.
DOI:
10.3390/genes13122282
Place of Publication:
Basel (Switzerland)
Publisher:
MDPI
Citation:
A comparison between three tuning strategies for gaussian kernels in the context of univariate genomic prediction. 2022. 13 (12 art. 2282.) DOI: 10.3390/genes13122282 MDPI.

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