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Bioconductor Software for Graphs

  • V. J. Carey
  • R. Gentleman
  • W. Huber
  • J. Gentry
Part of the Statistics for Biology and Health book series (SBH)

Abstract

We describe software tools for creating, manipulating, and visualizing graphs in the Bioconductor project. We give the rationale for our design decisions and provide brief outlines of how to make use of these tools. The discussion mirrors that of Chapter 20 where the different mathematical constructs were described. It is worth differentiating between packages that are mainly infrastructure (sets of tools that can be used to create other pieces of software) and packages that are designed to provide an end-user application. The packages graph, RBGL, and Rgraphviz are infrastructure packages. Software developers may use these packages to construct tools aimed at specific applications areas, such as the GOstats package.

Keywords

Short Path Random Graph Minimal Span Tree Edge Weight Short Path Algorithm 
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, Inc. 2005

Authors and Affiliations

  • V. J. Carey
  • R. Gentleman
  • W. Huber
  • J. Gentry

There are no affiliations available

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