Normalization of Dye Bias in Microarray Data Using the Mixture of Splines Model

Yongsung Joo, University of Florida
George Casella, University of Florida
James Booth, Cornell University
Keunbaik Lee, University of Florida
Steven Enkemann, H. Lee Moffitt Cancer Center and Research Institution

Abstract

This paper discusses characteristics of dye biases in microarray data that the conventional normalization methods do not handle, and proposes a new normalization method involving a mixture of splines model. We also develop a test for between-group comparisons of each gene that is designed to be used with our proposed method.

Submitted: May 9, 2006 · Accepted: December 16, 2006 · Published: January 25, 2007

Recommended Citation

Joo, Yongsung; Casella, George; Booth, James; Lee, Keunbaik; and Enkemann, Steven (2007) "Normalization of Dye Bias in Microarray Data Using the Mixture of Splines Model," Statistical Applications in Genetics and Molecular Biology: Vol. 6 : Iss. 1, Article 2.
Available at: http://www.bepress.com/sagmb/vol6/iss1/art2

 
 
 
 

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