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
β¦ LIBER β¦
Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data
β Scribed by Huiling Xiong; Dapeng Zhang; Christopher J Martyniuk; Vance L Trudeau; Xuhua Xia
- Book ID
- 115001311
- Publisher
- BioMed Central
- Year
- 2008
- Tongue
- English
- Weight
- 649 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1471-2105
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## Abstract Microarrays provide a valuable tool for the quantification of gene expression. Usually, however, there is a limited number of replicates leading to unsatisfying variance estimates in a geneβwise mixed model analysis. As thousands of genes are available, it is desirable to combine inform
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