Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

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

Authors:	Email author" target="_blank">Hua?Liu Email author Sergey?Tarima Aaron?S?Borders Thomas?V?Getchell Marilyn?L?Getchell Arnold?J?Stromberg

Institution:	(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

Abstract:	Background Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage of the fact that time is a continuous variable, and existing clustering methods often group biologically unrelated genes together.

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