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Accounting for Correlation Between Traits in Genomic Prediction.

Methods in molecular biology (Clifton, N.J.) - 1 Jan 2022

Montesinos-López Osval Antonio, Montesinos-López Abelardo, Mosqueda-Gonzalez Brandon A, Montesinos-López José Cricelio, Crossa José

Abstract excerpt

Genomic enabled prediction is playing a key role for the success of genomic selection (GS). However, according to the No Free Lunch Theorem, there is not a universal model that performs well for all data sets. Due to this, many statistical and machine learning models are available for genomic prediction. When multitrait data is available, models that are able to account for correlations between phenotypic traits...

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Bayes Theorem
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PMID: 35451780
DOI: 10.1007/978-1-0716-2205-6_10

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