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Reducing Boolean Networks with Backward Boolean Equivalence

  • 2021
  • OriginalPaper
  • Chapter
Published in:
Authors
Georgios Argyris
Alberto Lluch Lafuente
Mirco Tribastone
Max Tschaikowski
Andrea Vandin
Published in
Computational Methods in Systems Biology
Publisher
Springer International Publishing

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Abstract

The chapter introduces a novel method, Backward Boolean Equivalence (BBE), for reducing Boolean Networks (BNs) while exactly preserving behaviors of interest. BBE collapses backward Boolean equivalent variables, enabling the reduction of BNs without generating spurious trajectories or attractors. The method is implemented in the freely available tool ERODE and validated on a large repository of BNs, demonstrating significant reduction in state space and computational efficiency. The chapter also includes case studies and comparisons with other reduction techniques, highlighting the effectiveness and scalability of BBE.
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Partially supported by the DFF project REDUCTO 9040-00224B, the Poul Due Jensen Foundation grant 883901, and the PRIN project SEDUCE 2017TWRCNB.

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next chapter Abstraction of Markov Population Dynamics via Generative Adversarial Nets
Title
Reducing Boolean Networks with Backward Boolean Equivalence
Authors
Georgios Argyris
Alberto Lluch Lafuente
Mirco Tribastone
Max Tschaikowski
Andrea Vandin
Copyright Year
2021
Book
Computational Methods in Systems Biology

Print ISBN: 978-3-030-85632-8

Electronic ISBN: 978-3-030-85633-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-85633-5_1
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