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- Title
A comparison of background correction methods for two-colour microarrays.
- Authors
Ritchie, Matthew E.; Silver, Jeremy; Oshlack, Alicia; Holmes, Melissa; Diyagama, Dileepa; Holloway, Andrew; Smyth, Gordon K.
- Abstract
Motivation: Microarray data must be background corrected to remove the effects of non-specific binding or spatial heterogeneity across the array, but this practice typically causes other problems such as negative corrected intensities and high variability of low intensity log-ratios. Different estimators of background, and various model-based processing methods, are compared in this study in search of the best option for differential expression analyses of small microarray experiments.
- Subjects
DNA microarrays; GENE expression; GENES; GENETIC algorithms; GENETIC research
- Publication
Bioinformatics, 2007, Vol 23, Issue 20, p2700
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/btm412