(1) UMR INAPG/INRA/ENGREF 518, 16, rue C. Bernard, 75231 Paris Cedex 05, France
Abstract:
Background
Thousands of genes in a genomewide data set are tested against some null hypothesis, for detecting differentially expressed
genes in microarray experiments. The expected proportion of false positive genes in a set of genes, called the False Discovery
Rate (FDR), has been proposed to measure the statistical significance of this set. Various procedures exist for controlling
the FDR. However the threshold (generally 5%) is arbitrary and a specific measure associated with each gene would be worthwhile.