Qualitative assessment of cDNA microarray gene expression data using detrended fluctuation analysis

Radhakrishnan Nagarajan, Meenakshi Upreti and R.B. Govindan

Physica A: Statistical Mechanics and its Applications, 2007, vol. 373, issue C, 503-510

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.

Keywords: Microarray; Gene expression; Power spectrum; Detrended fluctuation analysis (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:373:y:2007:i:c:p:503-510

DOI: 10.1016/j.physa.2006.04.064

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