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BMCBI
2005

A robust two-way semi-linear model for normalization of cDNA microarray data

9 years 3 months ago
A robust two-way semi-linear model for normalization of cDNA microarray data
Background: Normalization is a basic step in microarray data analysis. A proper normalization procedure ensures that the intensity ratios provide meaningful measures of relative expression values. Methods: We propose a robust semiparametric method in a two-way semi-linear model (TWSLM) for normalization of cDNA microarray data. This method does not make the usual assumptions underlying some of the existing methods. For example, it does not assume that: (i) the percentage of differentially expressed genes is small; or (ii) the numbers of up- and down-regulated genes are about the same, as required in the LOWESS normalization method. We conduct simulation studies to evaluate the proposed method and use a real data set from a specially designed microarray experiment to compare the performance of the proposed method with that of the LOWESS normalization approach. Results: The simulation results show that the proposed method performs better than the LOWESS normalization method in terms of ...
Deli Wang, Jian Huang, Hehuang Xie, Liliana Manzel
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2005
Where BMCBI
Authors Deli Wang, Jian Huang, Hehuang Xie, Liliana Manzella, Marcelo Bento Soares
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