Qualitative assessment of cDNA microarray gene expression data using detrended fluctuation analysis |
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| Institution: | 1. Université Pierre et Marie Curie, Equipe Adaptations aux Milieux Extrêmes, UMR 7138 SAE, Quai St Bernard, 75252 Cedex 5 Paris, France;2. Ocean and Earth Science, University of Southampton, European Way, Southampton SO14 3ZH, UK;3. Centre of IMAR of the University of the Azores, Department of Oceanography and Fisheries/UAz—LARSyS Associated Laboratory, 9901-862 Horta, Portugal;4. MARE-Marine and Environmental Science Center, University of the Azores, 9901-862 Horta, Azores, Portugal;5. Rua José Saramago, Montenegro, 8005-181 Faro, Portugal |
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| Abstract: | A number of microarray studies assume gene expression data to be independent of one another. In this report, we provide evidence of correlation in cDNA microarray gene expression data using classical power spectral analysis and the sophisticated detrended fluctuation analysis (DFA). Such correlations are shown to be an outcome of gene's position on the arrays and immune to pre-processing procedures such as normalization. The results presented encourage DFA as a tool for qualitative assessment of microarray gene expression data prior to inferring differential gene expression. |
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