A model for measurement error for gene expression arrays
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Updated: Oct 3, 2026

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
Published on: March 15, 2011
1Department of Applied Science, University of California-Davis, 3011 Engineering Unit III, Davis, CA 95616, USA.
Abstract:
We introduce a model for measurement error in gene expression arrays as a function of the expression level. This model, together with analysis methods, data transformations, and weighting, allows much more precise comparisons of gene expression, and provides guidance for analysis of background, determination of confidence intervals, and preprocessing data for multivariate analysis.
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