Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy

Gonzalo A. Ruz; Eric Goles; Sylvain Sené

doi:10.1109/CEC.2018.8477964

Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy

Gonzalo A. Ruz, Eric Goles, Sylvain Sené

Faculty of Engineering and Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

One of the first popular applications of Boolean networks for gene regulatory networks corresponds to the Mendoza Alvarez-Buylla network of flower development. In this paper, we consider this model and a reduced version to reconstruct synthetic threshold Boolean networks that have the same asymptotic behavior as these base models. For this, we employ an evolution strategy to search for neighboring solutions. We were able to find solutions with fewer edges as well as networks with more balanced distributions of basins of attractions. Overall, our results show the effectiveness of using evolutionary computation in this application to explore alternative solutions with desired properties.

Original language	English
Title of host publication	2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509060177
DOIs	https://doi.org/10.1109/CEC.2018.8477964
State	Published - 28 Sep 2018
Event	2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Rio de Janeiro, Brazil Duration: 8 Jul 2018 → 13 Jul 2018

Publication series

Name	2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

Conference

Conference	2018 IEEE Congress on Evolutionary Computation, CEC 2018
Country/Territory	Brazil
City	Rio de Janeiro
Period	8/07/18 → 13/07/18

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10.1109/CEC.2018.8477964

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Ruz, G. A., Goles, E., & Sené, S. (2018). Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy. In 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings Article 8477964 (2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2018.8477964

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title = "Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy",

abstract = "One of the first popular applications of Boolean networks for gene regulatory networks corresponds to the Mendoza Alvarez-Buylla network of flower development. In this paper, we consider this model and a reduced version to reconstruct synthetic threshold Boolean networks that have the same asymptotic behavior as these base models. For this, we employ an evolution strategy to search for neighboring solutions. We were able to find solutions with fewer edges as well as networks with more balanced distributions of basins of attractions. Overall, our results show the effectiveness of using evolutionary computation in this application to explore alternative solutions with desired properties.",

author = "Ruz, {Gonzalo A.} and Eric Goles and Sylvain Sen{\'e}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Congress on Evolutionary Computation, CEC 2018 ; Conference date: 08-07-2018 Through 13-07-2018",

year = "2018",

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doi = "10.1109/CEC.2018.8477964",

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Ruz, GA, Goles, E & Sené, S 2018, Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy. in 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings., 8477964, 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Congress on Evolutionary Computation, CEC 2018, Rio de Janeiro, Brazil, 8/07/18. https://doi.org/10.1109/CEC.2018.8477964

Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy. / Ruz, Gonzalo A.; Goles, Eric; Sené, Sylvain.
2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8477964 (2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - One of the first popular applications of Boolean networks for gene regulatory networks corresponds to the Mendoza Alvarez-Buylla network of flower development. In this paper, we consider this model and a reduced version to reconstruct synthetic threshold Boolean networks that have the same asymptotic behavior as these base models. For this, we employ an evolution strategy to search for neighboring solutions. We were able to find solutions with fewer edges as well as networks with more balanced distributions of basins of attractions. Overall, our results show the effectiveness of using evolutionary computation in this application to explore alternative solutions with desired properties.

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Ruz GA, Goles E, Sené S. Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy. In 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8477964. (2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings). doi: 10.1109/CEC.2018.8477964

Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy

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