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CLC number: O223

On-line Access: 2020-03-04

Received: 2019-08-17

Revision Accepted: 2019-10-19

Crosschecked: 2019-11-15

Cited: 0

Clicked: 2520

Citations:  Bibtex RefMan EndNote GB/T7714


Jin-feng Pan


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Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.2 P.294-303


Optimal one-bit perturbation in Boolean networks based on cascading aggregation

Author(s):  Jin-feng Pan, Min Meng

Affiliation(s):  School of Mathematics and Information Sciences, Weifang University, Weifang 261061, China; more

Corresponding email(s):   panjinfeng1989@163.com, mengminmath@gmail.com

Key Words:  Large-scale Boolean network, Attractor, Cascading aggregation, One-bit perturbation

Jin-feng Pan, Min Meng. Optimal one-bit perturbation in Boolean networks based on cascading aggregation[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(2): 294-303.

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%DOI 10.1631/FITEE.1900411

T1 - Optimal one-bit perturbation in Boolean networks based on cascading aggregation
A1 - Jin-feng Pan
A1 - Min Meng
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 21
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SP - 294
EP - 303
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1900411

We investigate the problem of finding optimal one-bit perturbation that maximizes the size of the basin of attractions (BOAs) of desired attractors and minimizes the size of the BOAs of undesired attractors for large-scale Boolean networks by cascading aggregation. First, via the aggregation, a necessary and sufficient condition is given to ensure the invariance of desired attractors after one-bit perturbation. Second, an algorithm is proposed to identify whether the one-bit perturbation will cause the emergence of new attractors or not. Next, the change of the size of BOAs after one-bit perturbation is provided in an algorithm. Finally, the efficiency of the proposed method is verified by a T-cell receptor network.





Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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