Radial basis function regression methods for predicting quantitative traits using SNP markers.

@article{Long2010RadialBF,
  title={Radial basis function regression methods for predicting quantitative traits using SNP markers.},
  author={Nanye Long and Daniel Gianola and Guilherme J. M. Rosa and Kent A. Weigel and Andreas Kranis and {\'O}scar Gonz{\'a}lez-Recio},
  journal={Genetics research},
  year={2010},
  volume={92 3},
  pages={209-25}
}
A challenge when predicting total genetic values for complex quantitative traits is that an unknown number of quantitative trait loci may affect phenotypes via cryptic interactions. If markers are available, assuming that their effects on phenotypes are additive may lead to poor predictive ability. Non-parametric radial basis function (RBF) regression, which does not assume a particular form of the genotype-phenotype relationship, was investigated here by simulation and analysis of body weight… CONTINUE READING
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