Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits

Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits

The usefulness of genomic prediction in crop and livestock breeding programs has prompted efforts to develop new and improved genomic prediction algorithms, such as artificial neural networks and gradient tree boosting. However, the performance of these algorithms has not been compared in a systemat...

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Bibliographic Details
Main Authors: Christina B. Azodi, Emily Bolger, Andrew McCarren, Mark Roantree, Gustavo de los Campos, Shin-Han Shiu
Format: Article
Language:English
Published: Oxford University Press 2019-11-01
Series:G3: Genes, Genomes, Genetics
Subjects:
genomic selection
artificial neural network
genotype-to-phenotype
genomic prediction
genpred
shared data resources
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.119.400498

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http://g3journal.org/lookup/doi/10.1534/g3.119.400498

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