Economics at your fingertips  

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, 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.

Date: 2007
References: View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

DOI: 10.2202/1544-6115.1228

Access Statistics for this article

Statistical Applications in Genetics and Molecular Biology is currently edited by Michael P. H. Stumpf

More articles in Statistical Applications in Genetics and Molecular Biology from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

Page updated 2021-05-07
Handle: RePEc:bpj:sagmbi:v:6:y:2007:i:1:n:2