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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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Fan, Peng, and Huang present an interesting method for normalizing data from cDNA microarrays. The method uses semiparametric models and leads to some challenging mathematical questions concerning their asymptotic performance.
Focusing on the practical aspects, their method seems novel in its adjustment of print-tip effects and its use of replication to borrow strength. The latter seems to crucial to the technique; they need either within-array replicates or replications of the entire array. In the latter case, they need to assume that the "treatment effect" of each genes is the same across different arrays. I wonder about the robustness of such an assumption.
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