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cDNA microarray analysis using both gene expression ratios and intensities

✍ Scribed by Chen, Yidong; Zhang, Hongen; Panavally, Sujatha; Dougherty, Edward; Bittner, Michael; Meltzer, Paul; Trent, Jeffery

Book ID
109830374
Publisher
Nature Publishing Group
Year
2001
Tongue
English
Weight
40 KB
Volume
27
Category
Article
ISSN
1061-4036

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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 correlation