Identifying SNPs predictive of phenotype using random forests.

@article{Bureau2005IdentifyingSP,
  title={Identifying SNPs predictive of phenotype using random forests.},
  author={Alexandre Bureau and Jos{\'e}e Dupuis and Kathleen Falls and Kathryn L. Lunetta and Brooke Hayward and Tim P. Keith and Paul Van Eerdewegh},
  journal={Genetic epidemiology},
  year={2005},
  volume={28 2},
  pages={171-82}
}
There has been a great interest and a few successes in the identification of complex disease susceptibility genes in recent years. Association studies, where a large number of single-nucleotide polymorphisms (SNPs) are typed in a sample of cases and controls to determine which genes are associated with a specific disease, provide a powerful approach for complex disease gene mapping. Genes of interest in those studies may contain large numbers of SNPs that classical statistical methods cannot… CONTINUE READING
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