Analyzing the Effect of Prior Knowledge in Genetic Regulatory Network Inference

  • Gustavo Bastos
  • Katia S. Guimarães
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)


Inferring the metabolic pathways that control the cell cycles is a challenging and difficult task. Its importance in the process of understanding living organisms has motivated the development of several models to infer gene regulatory networks from DNA microarray data. In the last years, many works have been adding biological information to those models to improve the obtained results. In this work, we add prior biological knowledge into a Bayesian Network model with non parametric regression and analyze the effects of such information in the results.


Bayesian Network Bayesian Information Criterion Boolean Network Reference Network Bayesian Network Model 
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 2005

Authors and Affiliations

  • Gustavo Bastos
    • 1
  • Katia S. Guimarães
    • 1
  1. 1.Center of InformaticsFederal University of PernambucoBrazil

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