Extracting gene expression patterns and identifying co-expressed genes from microarray data reveals biologically responsive processes |
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| Authors: | Jeff W Chou Tong Zhou William K Kaufmann Richard S Paules Pierre R Bushel |
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| Institution: | (1) Microarray Group, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA;(2) Department of Pathology and Laboratory Medicine, Center for Environmental Health and Susceptibility, and Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA |
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| Abstract: | Background A common observation in the analysis of gene expression data is that many genes display similarity in their expression patterns
and therefore appear to be co-regulated. However, the variation associated with microarray data and the complexity of the
experimental designs make the acquisition of co-expressed genes a challenge. We developed a novel method for Extracting microarray
gene expression Patterns and Identifying co-expressed Genes, designated as EPIG. The approach utilizes the underlying structure
of gene expression data to extract patterns and identify co-expressed genes that are responsive to experimental conditions. |
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