Bayesian hierarchical model for correcting signal saturation in microarrays using pixel intensities.

Abstract

Pixel saturation occurs when the pixel intensity exceeds the scanner upper threshold of detection and the recorded pixel intensity is then truncated at the threshold. Truncation of the pixel intensity causes the estimates of gene expression (i.e., intensity) to be biased. Microarray experiments are commonly affected by saturated pixels; as a result all… (More)

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Cite this paper

@article{Gupta2006BayesianHM, title={Bayesian hierarchical model for correcting signal saturation in microarrays using pixel intensities.}, author={Rashi Gupta and Petri Auvinen and Andrew Thomas and Elja Arjas}, journal={Statistical applications in genetics and molecular biology}, year={2006}, volume={5}, pages={Article20} }