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Case Studies Using Graphs on Biological Data

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

Abstract

In this chapter we consider four specific data-analytic and inferential problems that can be addressed using graphs. We demonstrate the use of the software and methods described in Chapters 20 and 21 on real problems in computational biology.We will show how one can investigate relationships between gene expression and protein-protein interaction data, how GO annotations can be used to analyze gene sets, how literature citations can be related to experimental data, and how gene expression data can be mapped on pathways.

Keywords

Bipartite Graph Edge Weight Jaccard Index Expression Cluster Permute Graph 
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

  • R. Gentleman
  • D. Scholtens
  • B. Ding
  • V. J. Carey
  • W. Huber

There are no affiliations available

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