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Discovering structures in gene regulatory networks using genetic programming and particle swarms

Published: 07 July 2007 Publication History

Abstract

In this paper, we describe a Genetic Programming and Particle Swarm Hybrid algorithm for Gene Network discovery.

References

[1]
Welch, S.M., Roe, J.L., Das, S., Dong, Z., He, R., Kirkham, M.B. Merging genomic control networks and Soil-Plant-Atmosphere-Contiuum (SPAC) models. Agricultural Systems 86:243--74.
[2]
de Castro, L.N., and Von Zuben, F.J. Learning and optimization using the clonal selection principle, IEEE Transactions on Evolutionary Computation, 6, 3 (June 2002) 239--251.
[3]
M. Clerc and J. Kennedy, "The particle swarm-explosion, stability, and convergence in a multidimensional complex space," IEEE Transactions on Evolutionary Computation, vol. 6, no. 1, pp. 58--73, 2002.

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  • (2013)Gene regulatory networks reconstruction from time series datasets using genetic programming: a comparison between tree-based and graph-based approachesGenetic Programming and Evolvable Machines10.1007/s10710-013-9183-z14:4(431-455)Online publication date: 22-Mar-2013

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  1. Discovering structures in gene regulatory networks using genetic programming and particle swarms

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    cover image ACM Conferences
    GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
    July 2007
    2313 pages
    ISBN:9781595936974
    DOI:10.1145/1276958

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 07 July 2007

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    Author Tags

    1. bioinformatics
    2. clonal selection
    3. gene regulatory network
    4. genetic programming
    5. particle swarm optimization

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    GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;
    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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    • (2013)Gene regulatory networks reconstruction from time series datasets using genetic programming: a comparison between tree-based and graph-based approachesGenetic Programming and Evolvable Machines10.1007/s10710-013-9183-z14:4(431-455)Online publication date: 22-Mar-2013

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