Identifying gene regulatory networks using evolutionary algorithms

Authors:
Carl Davidson
Affiliations:
Simpson College, Indianola, IA
Venue:
Journal of Computing Sciences in Colleges
Year:
2010

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Abstract

This paper discusses experiments with genetic algorithms to reconstruct gene regulatory networks represented as Bayesian networks. In our algorithm Bayesian networks are represented by their topological order. Various selection methods and fitness functions were tested on data generated from a small-scale Bayesian network. The algorithm was run on a large fragment of the human transcriptome to demonstrate scalability. Additional improvements on the implementation are proposed for future research.