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• W2007130951 abstract "We study the geometric modeling approach to estimating the null distribution for the empirical Bayes modeling of multiple hypothesis testing. The commonly used method is a nonparametric approach based on the Poisson regression, which however could be unduly affected by the dependence among test statistics and perform very poorly under strong dependence. In this paper, we explore a finite mixture model based geometric modeling approach to empirical null distribution estimation and multiple hypothesis testing. Through simulations and applications to two public microarray data, we will illustrate its competitive performance." @default.
• W2007130951 created "2016-06-24" @default.
• W2007130951 creator A5029703168 @default.
• W2007130951 date "2013-04-01" @default.
• W2007130951 modified "2023-10-13" @default.
• W2007130951 title "On the geometric modeling approach to empirical null distribution estimation for empirical Bayes modeling of multiple hypothesis testing" @default.
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• W2007130951 doi "https://doi.org/10.1016/j.compbiolchem.2012.12.001" @default.
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