Estimating the False Discovery Rate for interval null-hypotheses using nonparametric deconvolution

Microarrays are a widespread technique to measure expression of thousands of genes simultaneously. When applied to two different conditions (e.g. disease versus healthy) one is often interested in those genes that express significantly different under the two conditions. It is generally recognized that multiple testing corrections are necessary and the False Discovery Rate (FDR) is a usefu