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Semilinear high-dimensional model for normalization of microarray data: a theoretical analysis and partial consistency; Comment.
- Article from:
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Journal of the American Statistical Association
- Article date:
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September 1, 2005
- Author:
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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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We congratulate Fan, Peng, and Huang (FPH hereafter) on their interesting, innovative, and important contribution on microarray normalization. In addition to proposing new methodology that addresses several important open problems, FPH also present new asymptotic theory that both validates their approach and provides insight into the normalization process. Such theoretical work has been sparse in the microarray literature, probably because of the nonstandard way in which the number of parameters is large relative to the number of observations. We appreciate the opportunity to comment on this article.
Normalization is the process of removing systematic background noises of ...