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A calibration method for estimating absolute expression levels from microarray data
Author(s) -
Kristof Engelen,
Bart Naudts,
Bart De Moor,
Kathleen Marchal
Publication year - 2006
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btl068
Subject(s) - calibration , expression (computer science) , computer science , sample (material) , microarray analysis techniques , microarray , computational biology , data mining , statistics , gene expression , biology , mathematics , gene , genetics , chemistry , chromatography , programming language
We describe an approach to normalize spotted microarray data, based on a physically motivated calibration model. This model consists of two major components, describing the hybridization of target transcripts to their corresponding probes on the one hand, and the measurement of fluorescence from the hybridized, labeled target on the other hand. The model parameters and error distributions are estimated from external control spikes.

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