Genome-enabled prediction of genetic values using radial basis function neural networks
The availability of high density panels of molecular markers has prompted the adoption of genomic selection (GS) methods in animal and plant breeding. In GS, parametric, semi-parametric and non-parametric regressions models are used for predicting quantitative traits. This article shows how to use n...
| Main Authors: | , , , , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Springer-Verlag
2012
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3405257/ |