Inference of gene regulatory networks using Bayesian network

نویسندگان

  • Daye Jeong
  • Sanghyun Park
چکیده

It has been attempted to reveal regulatory information from microarray data using Bayesian network [1]. However, due to limitation of microarray, successful result is obtained only under a limited condition. For this reason, Bayesian network from combining microarray with biological knowledge was proposed [2]. In this paper, we proposed Bayesian network learned by genetic algorithm to infer gene regulatory network. We use protein-protein interaction, gene-gene interaction, and protein-DNA interaction data for construction of Bayesian network.

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تاریخ انتشار 2014