Error models for microarray intensities
Download the Paper Forward to a colleague
The paper was submitted to the Encyclopedia of Genomics, Proteomics and Bioinformatics, edited by Michael Dunn, Lynn Jorde, Peter Little and Shankar Subramaniam, to be published by John Wiley & Sons Ltd.
Abstract:
We derive the additive-multiplicative error model for microarray intensities, and describe two applications. For the detection of differentially expressed genes, we obtain a statistic whose variance is approximately independent of the mean intensity. For the post hoc calibration (normalization) of data with respect to experimental factors, we describe a method for parameter estimation.
Subject Area:
Microarrays, Statistical Models
Suggested Citation:
Wolfgang Huber, Anja von Heydebreck, and Martin Vingron, "Error models for microarray intensities" (March 2004). Bioconductor Project Working Papers. Working Paper 6.
http://www.bepress.com/bioconductor/paper6