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

Research output: Chapter in Book/Report/Conference proceedingChapter

  • Marco Grzegorczyk
  • Dirk Husmeier
  • Adriano V. Werhli

Related Edinburgh Organisations

Original languageEnglish
Title of host publicationAnalysis of Microarray Data
Subtitle of host publicationA Network-Based Approach
PublisherWiley-VCH Verlag GmbH & Co. KGaA
Number of pages42
ISBN (Print)9783527622818
Publication statusPublished - 13 Feb 2008


This chapter contains sections titled: * Introduction * Methods * The RAF Signalling Pathway * Criteria for Evaluating Learning Performances * Data * Simulations * Results * Discussion * Conclusion * References

    Research areas

  • 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

ID: 14017686