Reverse engineering gene regulatory networks with various machine learning methods: Analysis of microarray data

Marco Grzegorczyk, Dirk Husmeier, Adriano V. Werhli

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter contains sections titled: * Introduction * Methods * The RAF Signalling Pathway * Criteria for Evaluating Learning Performances * Data * Simulations * Results * Discussion * Conclusion * References
Original languageEnglish
Title of host publicationAnalysis of Microarray Data
Subtitle of host publicationA Network-Based Approach
PublisherWiley-VCH Verlag GmbH & Co. KGaA
Chapter5
Pages101-142
Number of pages42
ISBN (Print)9783527622818
DOIs
Publication statusPublished - 13 Feb 2008

Keywords

  • DNA microarrays
  • analysis
  • systems biology
  • gene regulatory networks
  • relevance networks
  • graphical Gaussian models
  • Bayesian networks
  • Bayesian inference
  • Markov chain Monte Carlo
  • cytometry data
  • raf signaling pathway
  • machine learning methods

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