Abstract
In the past decade, high-throughput measurement of gene expression has evolved from a tantalizing possibility to an everyday exercise, thanks to microarray technology. The initial excitement for microarrays was quickly followed, for many scientists, with apprehension about appropriately analyzing large amounts of data of sometimes questionable quality. Most scientists have now developed an appreciation for the limitations and challenges presented by the technology.
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Kerr, K.F. (2007). Design Principles for Microarray Investigations. In: Dubitzky, W., Granzow, M., Berrar, D. (eds) Fundamentals of Data Mining in Genomics and Proteomics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-47509-7_2
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DOI: https://doi.org/10.1007/978-0-387-47509-7_2
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