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

doi:10.1186/1471-2105-6-106

BMC Bioinformatics

Volume 6

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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

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

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

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

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

author email corresponding author email

BMC Bioinformatics 2005, 6:106doi: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