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Parametric Estimation of the Local False Discovery Rate for Identifying Genetic Associations
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By David R. Bickel, Farnoosh A. Aghababazadeh, Ye Yang
Issue Date:January 2013
pp. 98-108
Many genome-wide association studies have been conducted to identify single nucleotide polymorphisms (SNPs) that are associated with particular diseases or other traits. The local false discovery rate (LFDR) estimated using semiparametric models has enjoye...
     
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