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{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/2644708","sourcedb":"PMC","sourceid":"2644708","source_url":"http://www.ncbi.nlm.nih.gov/pmc/2644708","text":"Background\nMicroarray technology has become very popular for globally evaluating gene expression in biological samples. However, non-linear variation associated with the technology can make data interpretation unreliable. Therefore, methods to correct this kind of technical variation are critical. Here we consider a method to reduce this type of variation applied after three common procedures for processing microarray data: MAS 5.0, RMA, and dChip®.","divisions":[{"label":"Title","span":{"begin":0,"end":10}}],"tracks":[]}