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Statistical Designs for Two-Color Spotted Microarray Experiments

โœ Scribed by Feng-Shun Chai; Chen-Tuo Liao; Shin-Fu Tsai


Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
122 KB
Volume
49
Category
Article
ISSN
0323-3847

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โœฆ Synopsis


Abstract

Twoโ€color cDNA or oligonucleotideโ€based spotted microarrays have been commonly used in measuring the expression levels of thousands of genes simultaneously. To realize the immense potential of this powerful new technology, budgeted within limited resources or other constraints, practical designs with high efficiencies are in demand. In this study, we address the design issue concerning the arrangement of the mRNA samples labeled with fluorescent dyes and hybridized on the slides. A normalization model is proposed to characterize major sources of systematic variation in a twoโ€color microarray experiment. This normalization model establishes a connection between designs for twoโ€color microarray experiments with a particular class of classical rowโ€column designs. A heuristic algorithm for constructing Aโ€optimal or highly efficient designs is provided. Statistical optimality results are found for some of the designs generated from the algorithm. It is believed that the constructed designs are the best or very close to the best possible for estimating the relative gene expression levels among the mRNA samples of interest. (ยฉ 2007 WILEYโ€VCH Verlag GmbH & Co. KGaA, Weinheim)


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