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An evaluation of the interpretability and predictive performance of the BayesR model for genomic prediction

Fanny Mollandin, Andrea Rau, View ORCID ProfilePascal Croiseau
doi: https://doi.org/10.1101/2020.10.23.351700
Fanny Mollandin
*Université Paris-Saclay, INRAE, AgroParisTech, GABI
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  • For correspondence: fanny.mollandin@inrae.fr
Andrea Rau
*Université Paris-Saclay, INRAE, AgroParisTech, GABI
†BioEcoAgro Joint Research Unit, INRAE, Université de Liège, Université de Lille, Université de Picardie Jules Verne
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Pascal Croiseau
*Université Paris-Saclay, INRAE, AgroParisTech, GABI
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  • ORCID record for Pascal Croiseau
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Posted October 23, 2020.
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An evaluation of the interpretability and predictive performance of the BayesR model for genomic prediction
Fanny Mollandin, Andrea Rau, Pascal Croiseau
bioRxiv 2020.10.23.351700; doi: https://doi.org/10.1101/2020.10.23.351700
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An evaluation of the interpretability and predictive performance of the BayesR model for genomic prediction
Fanny Mollandin, Andrea Rau, Pascal Croiseau
bioRxiv 2020.10.23.351700; doi: https://doi.org/10.1101/2020.10.23.351700

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