A simpler Bayesian network model for genetic regulatory network inference | IEEE Conference Publication | IEEE Xplore

A simpler Bayesian network model for genetic regulatory network inference


Abstract:

We use Bayesian networks and a nonparametric regression model for inferring genetic regulatory networks. We have used a combination of the Bayesian information criterion ...Show More

Abstract:

We use Bayesian networks and a nonparametric regression model for inferring genetic regulatory networks. We have used a combination of the Bayesian information criterion (BIC) and a 'voting' method to pick out the edges of the output graph. Using BIC makes the model simpler than previous ones, still obtaining, however, good results, as shown in our experiments with synthetic data and Saccharomyces cerevisiae cell cycle microarray gene expression data.
Date of Conference: 31 July 2005 - 04 August 2005
Date Added to IEEE Xplore: 27 December 2005
Print ISBN:0-7803-9048-2

ISSN Information:

Conference Location: Montreal, QC, Canada

References

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