DNA microarrays data analysis

Scan the array at 550 nm using a DNA microarray scanner and process the data using a DNA microarray data analysis software package (Fig. 5 see Note 12). 

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A whole spectrum of statistical techniques have been applied to the analysis of DNA microarray data [26-28]. These include clustering analysis (hierarchical, K-means, self-organizing maps), dimension reduction (singular value decomposition, principal component analysis, multidimensional scaling, or correspondence analysis), and supervised classification (support vector machines, artificial neural networks, discriminant methods, or between-group analysis) methods. More recently, a number of Bayesian and other probabilistic approaches have been employed in the analysis of DNA microarray data [11], Generally, the first phase of microarray data analysis is exploratory data analysis. 

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Acknowledgements We are grateful to Dr. David Kelly and Dr. Li Xiao (Eppley Institute for Research in Cancer, UNMC) for their assistance during the analysis of the DNA microarray data. The studies described in this paper were in part supported by the United States National Cancer Institute (CA89225). 

Oxford Gene Technologies offers services and licenses their proprietary technologies. The array technique surveys hybridization across gene sequences. The customized DNA microarray service supports research activities, and includes consultation, experimental design, data analysis, and interpretation. 

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