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Open Access Highly Access Methodology article

Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments

Hua Liu1*, Sergey Tarima1, Aaron S Borders2, Thomas V Getchell2,4, Marilyn L Getchell3,4 and Arnold J Stromberg1

Author Affiliations

1 Department of Statistics, University of Kentucky, Lexington, KY 40506, USA

2 Department of Physiology, University of Kentucky, Lexington, KY 40536, USA

3 Department of Anatomy and Neurobiology, University of Kentucky, Lexington, KY 40536, USA

4 Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA

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BMC Bioinformatics 2005, 6:106 doi:10.1186/1471-2105-6-106

Published: 25 April 2005

Additional files

Additional File 1:

Over-represented gene categories in each of the regression patterns and k-means clusters from EASE functional analysis. "Ease Analysis.xls" contains 2 worksheets: worksheet "regression" contains the over-represented gene categories in each of the 9 regression patterns obtained from EASE functional analysis; worksheet "k-means" contains the over-represented gene categories in each of the 9 k-means clusters obtained from EASE functional analysis.

Format: XLS Size: 46KB Download file

This file can be viewed with: Microsoft Excel Viewer

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