Prediction performance of linear models and gradient boosting machine on complex phenotypes in outbred mice
We compared the performance of linear (GBLUP, BayesB, and elastic net) methods to a nonparametric tree-based ensemble (gradient boosting machine) method for genomic prediction of complex traits in mice. The dataset used contained genotypes for 50,112 SNP markers and phenotypes for 835 animals from 6...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
NLM (Medline)
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |