Abstract
This chapter briefly reviews how laboratories generate microarray data. This information may give data analysts a better appreciation of the technical sources of variability in the data and the importance of minimizing such variability by normalization methods or exclusion of aberrant arrays.
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Welle, S. (2013). What Statisticians Should Know About Microarray Gene Expression Technology. In: Yakovlev, A., Klebanov, L., Gaile, D. (eds) Statistical Methods for Microarray Data Analysis. Methods in Molecular Biology, vol 972. Humana Press, New York, NY. https://doi.org/10.1007/978-1-60327-337-4_1
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DOI: https://doi.org/10.1007/978-1-60327-337-4_1
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Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-60327-336-7
Online ISBN: 978-1-60327-337-4
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