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R and Bioconductor Introduction

  • R. Gentleman
  • F. Hahne
  • S. Falcon
  • M. Morgan
Part of the Use R! book series (USE R)

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.

Keywords

Hash Table Character String Bioconductor Package Assay Data Sample Annotation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.Division of Public Health Sciences, Program in Computational BiologyFred Hutchinson Cancer Research CenterSeattleUSA
  2. 2.Division of Public Health Sciences, Program in Computational BiologyFred Hutchinson Cancer Research CenterSeattleUSA
  3. 3.Scientific Software EngineerSeattleUSA
  4. 4.Computational Biology ProgramFred Hutchinson Cancer Research CenterSeattleUSA

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