biostudies-literatureUnknown5Martin DE<h4>Background</h4>A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals between two biological conditions.<h4>Results</h4>We describe a new method, Rank Difference Analysis of Microarrays (RDAM), which estimates the total number of truly varying genes and assigns a p-value to each signal variation. Information on a group of differentially expressed genes includes the sensitivity and the false discovery rate. We demonstrate the feasibility and efficiency of our approach by applying it to a large synthetic expression data set and to a biological data set obtained by comparing vegetatively-growing wild type and tor2-mutant yeast strains. In both cases we observed a significant impBMC bioinformatics148https://www.ebi.ac.uk/biostudies/studies/S-EPMC526220biostudies-literatureRank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data.PMC526220Hall MNDemougin PBellis MMartin DEfalseRank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data.<h4>Background</h4>A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals between two biological conditions.<h4>Results</h4>We describe a new method, Rank Difference Analysis of Microarrays (RDAM), which estimates the total number of truly varying genes and assigns a p-value to each signal variation. Information on a group of differentially expressed genes includes the sensitivity and the false discovery rate. We demonstrate the feasibility and efficiency of our approach by applying it to a large synthetic expression data set and to a biological data set obtained by comparing vegetatively-growing wild type and tor2-mutant yeast strains. In both cases we observed a significant imp2004-01-01T00:00:00Z2004 Oct2026-05-03T06:42:54.733Z2019-03-27T01:08:20ZS-EPMC5262201547655810.1186/1471-2105-5-148