High-dimensional supervised classification in a context of non-independence of observations to identify the determining SNPs in a phenotype
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Infectious Diseases,Health Policy
Reference27 articles.
1. Population structure and cryptic relatedness in genetic association studies;Astle;Statistical Science,2009
2. Simultaneous snp selection and adjustment for population structure in high dimensional prediction models;Bhatnagar;PLoS Genetics,2020
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4. Comparison of methods to account for relatedness in genome-wide association studies with family-based data;Eu-Ahsunthornwattana;PLoS Genetics,2014
5. Tuning parameter selection in high dimensional penalized likelihood;Fan;Journal of the Royal Statistical Society: Series B,2013
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