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Exploring Dependencies Between Yeast Stress Genes and Their Regulators

  • Janne Nikkilä
  • Christophe Roos
  • Samuel Kaski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3177)

Abstract

An environmental stress response gene should, by definition, have common properties in its behavior across different stress treatments. We search for such common properties by models that maximize common variation, and explore potential regulators of the stress response by further maximizing mutual information with transcription factor binding data. A computationally tractable combination of generalized canonical correlations and clustering that searches for dependencies is proposed and shown to find promising sets of genes and their potential regulators.

Keywords

Mutual Information Stress Treatment Canonical Correlation Analysis Information Bottleneck Associative Cluster 
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-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Janne Nikkilä
    • 1
  • Christophe Roos
    • 2
  • Samuel Kaski
    • 3
    • 1
  1. 1.Neural Networks Research CentreHelsinki University of TechnologyFinland
  2. 2.Medicel OyHelsinkiFinland
  3. 3.Dept. of Computer ScienceUniversity of HelsinkiFinland

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