A model for measurement error for gene expression arrays

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, dete...

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Veröffentlicht in:Journal of computational biology 2001, Vol.8 (6), p.557-569
Hauptverfasser: Rocke, D M, Durbin, B
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:1066-5277
DOI:10.1089/106652701753307485