8. Bayesian Methods for Microarray Data

  1. D. J. Balding2,
  2. M. Bishop3 and
  3. C. Cannings4
  1. A. Lewin and
  2. S. Richardson

Published Online: 9 MAY 2008

DOI: 10.1002/9780470061619.ch8

Handbook of Statistical Genetics, Third Edition

Handbook of Statistical Genetics, Third Edition

How to Cite

Lewin, A. and Richardson, S. (2007) Bayesian Methods for Microarray Data, in Handbook of Statistical Genetics, Third Edition (eds D. J. Balding, M. Bishop and C. Cannings), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470061619.ch8

Editor Information

  1. 2

    Imperial College of Science, Technology and Medicine, London, UK

  2. 3

    CNR-ITB, Milan, Italy

  3. 4

    Division of Genomic Medicine, University of Sheffield, Sheffield, UK

Author Information

  1. Division of Epidemiology, Public Health and Primary Care, Imperial College, London, UK

Publication History

  1. Published Online: 9 MAY 2008
  2. Published Print: 24 AUG 2007

ISBN Information

Print ISBN: 9780470058305

Online ISBN: 9780470061619

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Keywords:

  • gene expression;
  • generic model building strategy;
  • Markov chain Monte Carlo;
  • hybridization reactions;
  • acute myeloid leukemia tumor cell line;
  • systematic nonlinear differences;
  • Bayesian mixture of normals;
  • analysis of variance (ANOVA) model;
  • differential expression model;
  • mixture component and allocation parameter

Summary

This chapter contains sections titled:

  • Introduction

  • Extracting Signal From Observed Intensities

  • Differential Expression

  • Clustering Gene Expression Profiles

  • Multivariate Gene Selection Models

  • Acknowledgments

  • Related Chapters

  • References