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Expression ratio evaluation in two-colour microarray experiments is significantly improved by correcting image misalignment
Author(s) -
Thomas LiPing Tang,
Nicolas François,
Annie Glatigny,
Nicolas Agier,
Marie-Hélène Mucchielli,
Lawrence P. Aggerbeck,
Hervé Delacroix
Publication year - 2007
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/btm399
Subject(s) - robustness (evolution) , estimator , computer science , artificial intelligence , dna microarray , pattern recognition (psychology) , image quality , interpolation (computer graphics) , image (mathematics) , correlation , computer vision , mathematics , statistics , gene expression , biology , gene , biochemistry , geometry
Two-colour microarrays are widely used to perform transcriptome analysis. In most cases, it appears that the 'red' and 'green' images resulting from the scan of a microarray slide are slightly shifted one with respect to the other. To increase the robustness of the measurement of the fluorescent emission intensities, multiple acquisitions with the same or different PMT gains can be used. In these cases, a systematic correction of image shift is required.

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