Normalization of Dye Bias in Microarray Data Using the Mixture of Splines Model
Joo Yongsung,
Casella George,
Booth James,
Lee Keunbaik and
Enkemann Steven
Additional contact information
Joo Yongsung: University of Florida
Casella George: University of Florida
Booth James: Cornell University
Lee Keunbaik: University of Florida
Enkemann Steven: H. Lee Moffitt Cancer Center and Research Institution
Statistical Applications in Genetics and Molecular Biology, 2007, vol. 6, issue 1, 22
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.
Keywords: mixture of splines; microarray data; dye bias (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:sagmbi:v:6:y:2007:i:1:n:2
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DOI: 10.2202/1544-6115.1228
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