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A stochastic downhill search algorithm for estimating the local false discovery rate

Scheid, Stefanie ; Spang, Rainer



Abstract

Screening for differential gene expression in microarray studies leads to difficult large-scale multiple testing problems. The local false discovery rate is a statistical concept for quantifying uncertainty in multiple testing. In this paper, we introduce a novel estimator for the local false discovery rate that is based on an algorithm which splits all genes into two groups, representing induced ...

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