Abstract
In this chapter we cover basic uses of R and begin working with Bioconductor datasets and tools. Topics covered include simple R programming, R graphics, and working with environments as hash tables. We introduce the ExpressionSet class as an example for a basic Bioconductor structure used for holding genomic data, in this case expression microarray data. And we explore some visualization techniques for gene expression data to get a feeling for R’s extensive graphical capabilities.
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© 2008 Springer Science+Business Media, LLC
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Gentleman, R., Hahne, F., Falcon, S., Morgan, M. (2008). R and Bioconductor Introduction. In: Bioconductor Case Studies. Use R!. Springer, New York, NY. https://doi.org/10.1007/978-0-387-77240-0_2
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DOI: https://doi.org/10.1007/978-0-387-77240-0_2
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)