Empirical Bayesian LASSO-logistic regression for multiple binary trait locus mapping

  title={Empirical Bayesian LASSO-logistic regression for multiple binary trait locus mapping},
  author={Anhui Huang and Shizhong Xu and Xiaodong Cai},
  booktitle={BMC Genetics},
Complex binary traits are influenced by many factors including the main effects of many quantitative trait loci (QTLs), the epistatic effects involving more than one QTLs, environmental effects and the effects of gene-environment interactions. Although a number of QTL mapping methods for binary traits have been developed, there still lacks an efficient and powerful method that can handle both main and epistatic effects of a relatively large number of possible QTLs. In this paper, we use a… CONTINUE READING
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  • CJ Hoggart, JC Whittaker, M De Iorio, DJ Balding
  • PLoS Genet
  • 2008
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Team: A language and environment for statistical computing

  • R Development Cor
  • Vienna, Austria: R Foundation for Statistical…
  • 2012
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  • JE Griffin, PJ Brown
  • Aust N Z J Stat
  • 2011
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