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Evaluation of normalization methods for cDNA microarray data by <Emphasis Type="Italic">k</Emphasis>-NN classification

Authors:	Email author" target="_blank">Wei?Wu Email author Eric?P?Xing Connie?Myers I?Saira?Mian Mina?J?Bissell

Institution:	(1) Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA;(2) Dorothy P. and Richard P. Simmons Center for Interstitial Lung Disease, Division of Pulmonary, Allergy and Critical Care Medicine, University of PittsburghMedical Center, Pittsburgh, PA 15213, USA;(3) Center for Automated Learning and Discovery and Language Technology Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA

Abstract:	Background Non-biological factors give rise to unwanted variations in cDNA microarray data. There are many normalization methods designed to remove such variations. However, to date there have been few published systematic evaluations of these techniques for removing variations arising from dye biases in the context of downstream, higher-order analytical tasks such as classification.

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