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An Efficient Algorithm for Computing Attractors of Synchronous And Asynchronous Boolean Networks

Author

Listed:
  • Desheng Zheng
  • Guowu Yang
  • Xiaoyu Li
  • Zhicai Wang
  • Feng Liu
  • Lei He

Abstract

Availability: The software package is available at https://sites.google.com/site/desheng619/download.

Suggested Citation

  • Desheng Zheng & Guowu Yang & Xiaoyu Li & Zhicai Wang & Feng Liu & Lei He, 2013. "An Efficient Algorithm for Computing Attractors of Synchronous And Asynchronous Boolean Networks," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-7, April.
    • Handle: RePEc:plo:pone00:0060593
    DOI: 10.1371/journal.pone.0060593
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    Cited by:

    1. Luboš Brim & Samuel Pastva & David Šafránek & Eva Šmijáková, 2021. "Parallel One-Step Control of Parametrised Boolean Networks," Mathematics, MDPI, vol. 9(5), pages 1-16, March.
    2. Pedro J. Rivera Torres & E. I. Serrano Mercado & Luis Anido Rifón, 2018. "Probabilistic Boolean network modeling of an industrial machine," Journal of Intelligent Manufacturing, Springer, vol. 29(4), pages 875-890, April.
    3. Changki Hong & Jeewon Hwang & Kwang-Hyun Cho & Insik Shin, 2015. "An Efficient Steady-State Analysis Method for Large Boolean Networks with High Maximum Node Connectivity," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-19, December.
    4. Sara D. Cardell & Amparo Fúster-Sabater, 2019. "Binomial Representation of Cryptographic Binary Sequences and Its Relation to Cellular Automata," Complexity, Hindawi, vol. 2019, pages 1-13, March.

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