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Semilinear high-dimensional model for normalization of microarray data: a theoretical analysis and partial consistency; Comment.
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Journal of the American Statistical Association
- Article date:
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September 1, 2005
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Copyright informationCOPYRIGHT 2005 American Statistical Association. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan. All inquiries regarding rights should be directed to the Gale Group. (Hide copyright information)
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The normalization of cDNA arrays is an issue of high practical relevance, being an initial necessary step in the analysis of microarray data, which are nowdays used extensively in genetics and biological research. The impact of statistics on this area can be described as both considerably high and disappointingly low. Statisticians (e.g., Tseng, Oh, Rohlin, Liao, and Wong 2001; Yang et al. 2002) first pointed out that the "global normalization" technique proposed by the developers of array technology overlooked a series of measurable effects and in turn suggested more flexible and sensitive strategies whose value has been recognized by practitioners. Indeed, even commercial ...
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