Mixture generalized linear models for multiple interval mapping of quantitative trait Loci in experimental crosses.

@article{Chen2009MixtureGL,
  title={Mixture generalized linear models for multiple interval mapping of quantitative trait Loci in experimental crosses.},
  author={Z. Chen and Jianbin Liu},
  journal={Biometrics},
  year={2009},
  volume={65 2},
  pages={470-7}
}
SUMMARY Quantitative trait loci mapping in experimental organisms is of great scientific and economic importance. There has been a rapid advancement in statistical methods for quantitative trait loci mapping. Various methods for normally distributed traits have been well established. Some of them have also been adapted for other types of traits such as binary, count, and categorical traits. In this article, we consider a unified mixture generalized linear model (GLIM) for multiple interval… CONTINUE READING

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