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Rank difference analysis of microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data

Martin, D. E. and Demougin, P. and Hall, M. N. and Bellis, M.. (2004) Rank difference analysis of microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data. BMC bioinformatics, Vol. 5 , 148.

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Official URL: http://edoc.unibas.ch/dok/A5258149

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Abstract

BACKGROUND: 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. RESULTS: 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 improvement of the power of analysis when our method is compared to another popular nonparametric method. CONCLUSIONS: This study provided a valuable new statistical method to analyze microarray data. We conclude that the good quality of the results obtained by RDAM is mainly due to the quasi-perfect equalization of variation distribution, which is related to the standardization procedure used and to the measurement of variation by rank difference.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Growth & Development > Biochemistry (Hall)
UniBasel Contributors:Hall, Michael N.
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:BioMed Central
ISSN:1471-2105
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:26 Apr 2013 06:59
Deposited On:22 Mar 2012 13:19

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