Chapter 13. Pathway-Based Methods for Analyzing Microarray Data

  1. Dr. Frank Emmert-Streib4,5 and
  2. Dr. Matthias Dehmer6
  1. Herbert Pang1,
  2. Inyoung Kim2 and
  3. Hongyu Zhao3

Published Online: 16 SEP 2008

DOI: 10.1002/9783527622818.ch13

Analysis of Microarray Data: A Network-Based Approach

Analysis of Microarray Data: A Network-Based Approach

How to Cite

Pang, H., Kim, I. and Zhao, H. (2008) Pathway-Based Methods for Analyzing Microarray Data, in Analysis of Microarray Data: A Network-Based Approach (eds F. Emmert-Streib and M. Dehmer), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany. doi: 10.1002/9783527622818.ch13

Editor Information

  1. 4

    University of Washington, Department of Biostatistics, University of Washington, Department of Genome Sciences, Seattle, WA 98195-5065, USA

  2. 5

    Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, MO 64110, USA

  3. 6

    Vienna University of Technology, Discrete Mathematics and Geometry, Wiedner Hauptstrasse 8–10/104, 1040 Vienna, Austria

Author Information

  1. 1

    Yale University School of Medicine, Department of Epidemiology and Public Health, 60 College Street, New Haven, CT 06520, USA

  2. 2

    Virginia Tech, Department of Statistics, 406-A Hutcheson Hall, Blacksburg, VA 24061, USA

  3. 3

    Yale University School of Medicine, Department of Epidemiology and Public Health, Department of Genetics, 60 College Street, New Haven, CT 06520, USA

Publication History

  1. Published Online: 16 SEP 2008
  2. Published Print: 13 FEB 2008

ISBN Information

Print ISBN: 9783527318223

Online ISBN: 9783527622818

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Keywords:

  • DNA microarrays;
  • analysis;
  • pathway-based methods;
  • biological pathways;
  • gene expression data;
  • machine learning methods;
  • Markov chain Monte Carlo;
  • random forests;
  • real data analysis

Summary

This chapter contains sections titled:

  • Introduction

  • Methods

  • Real Data Analysis

  • Conclusions and Discussion

  • References