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Spot intensity ratio statistics in two-channel microarray experiments

Authors
Park, TaesungKim, KiwoongYi, Sung-GonKim, Jin HyukLee, Yong-SungLee, Seungyeoun
Issue Date
Aug-2007
Publisher
Imperial College Press
Keywords
Log-normal distribution; Mean square errors; Ratio statistic
Citation
Journal of Bioinformatics and Computational Biology, v.5, no.4, pp 865 - 873
Pages
9
Indexed
SCOPUS
Journal Title
Journal of Bioinformatics and Computational Biology
Volume
5
Number
4
Start Page
865
End Page
873
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179751
DOI
10.1142/S0219720007002928
ISSN
0219-7200
1757-6334
Abstract
In two-channel microarray experiments, the image analysis extracts red and green fluorescence intensities. The ratio of the two fluorescence intensities represents the relative abundance of the corresponding DNA sequence. The subsequent analysis is performed by taking a log-transformation of this ratio. Therefore, the statistical analyses depend on accuracy of the ratios calculated from the image analysis. However, not many studies have been proposed for developing more reliable ratio statistics. In this paper, we consider a new type of log-transformed ratio statistic. We compare the new ratio statistic with the conventional ratio statistic commonly used in two-channel microarray experiments. First, under the specific log-normal distributional assumption, we compare analytically the new statistics with the conventional ratio statistic. Second, we compare those ratio statistics using a two-channel microarray data obtained by hybridizing a mixture of mouse RNA and yeast in vitro transcript (IVT). Both comparisons show that the proposed ratio statistic performs better than the conventional one.
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