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In recent mutation studies, analyses based on protein domain positions are gaining popularity over gene‐centric approaches since the latter have limitations in considering the functional context that the position of the mutation provides. This presents a large‐scale simultaneous inference problem, with hundreds of hypothesis tests to consider at the same time. This article aims to select significant...
When high dimensional microarray data is given, it is of interest to select significant genes by controlling a given level of Type-I error. One popular way to control the level is the false discovery rate (FDR). This paper considers gene selection based on the local false discovery rate. In most of the previous studies, the null distribution of gene expression is commonly assumed to be a normal distribution...
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