Abstract
In this chapter we do an analysis of Affymetrix gene expression data. We begin with the CEL files that contain the raw microarray readings, discuss how to do quality assessment, and proceed to normalization and the estimation of expression values. Finally, we determine differentially expressed genes.
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© 2008 Springer Science+Business Media, LLC
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Gentleman, R., Huber, W. (2008). Processing Affymetrix Expression Data. In: Bioconductor Case Studies. Use R!. Springer, New York, NY. https://doi.org/10.1007/978-0-387-77240-0_3
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DOI: https://doi.org/10.1007/978-0-387-77240-0_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-77239-4
Online ISBN: 978-0-387-77240-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)