[HTML][HTML] Attractor detection and enumeration algorithms for Boolean networks
The Boolean network (BN) is a mathematical model used to represent various biological
processes such as gene regulatory networks. The state of a BN is determined from the …
processes such as gene regulatory networks. The state of a BN is determined from the …
AEON. py: Python library for attractor analysis in asynchronous Boolean networks
AEON. py is a Python library for the analysis of the long-term behaviour in very large
asynchronous Boolean networks. It provides significant computational improvements over …
asynchronous Boolean networks. It provides significant computational improvements over …
Computing attractors of large-scale asynchronous Boolean networks using minimal trap spaces
VG Trinh, K Hiraishi, B Benhamou - Proceedings of the 13th ACM …, 2022 - dl.acm.org
Boolean Networks (BNs) play a crucial role in modeling, analyzing, and controlling
biological systems. One of the most important problems on BNs is to compute all the …
biological systems. One of the most important problems on BNs is to compute all the …
A Framework of Pinning Control for Non-periodical Stable Behaviors of Large-scale Asynchronous Boolean Networks
In this paper, two pinning control (PC) schemes are proposed to achieve non-periodical
stable behaviors for asynchronous Boolean networks (BNs), from the aspects of state …
stable behaviors for asynchronous Boolean networks (BNs), from the aspects of state …
Design of reduced-order and pinning controllers for probabilistic Boolean networks using reinforcement learning
M Takizawa, K Kobayashi, Y Yamashita - Applied Mathematics and …, 2023 - Elsevier
In this paper, we study a stabilization method for probabilistic Boolean networks (PBNs)
using Q-learning, which is one of the typical methods in reinforcement learning. A PBN is a …
using Q-learning, which is one of the typical methods in reinforcement learning. A PBN is a …
An improved method for finding attractors of large-scale asynchronous Boolean networks
T Van Giang, K Hiraishi - 2021 IEEE Conference on …, 2021 - ieeexplore.ieee.org
Attractor detection in Asynchronous Boolean Networks (ABNs) is very challenging due to the
high complexity of the state transition graph of an ABN. Recently, an efficient method (called …
high complexity of the state transition graph of an ABN. Recently, an efficient method (called …
A BDD-Based Approach to Model Reduction of Boolean Networks
F Motoyama, K Kobayashi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A Boolean network (BN) is well known as a discrete model for analysis and control of
complex networks such as gene regulatory networks. Since complex networks are large …
complex networks such as gene regulatory networks. Since complex networks are large …
Efficient Enumeration of Fixed Points in Complex Boolean Networks Using Answer Set Programming
Abstract Boolean Networks (BNs) are an efficient modeling formalism with applications in
various research fields such as mathematics, computer science, and more recently systems …
various research fields such as mathematics, computer science, and more recently systems …
On attractor detection and optimal control of deterministic generalized asynchronous random Boolean networks
T Van Giang, K Hiraishi - IEEE/ACM Transactions on …, 2020 - ieeexplore.ieee.org
Deterministic asynchronous Boolean networks play a crucial role in modeling and analysis
of gene regulatory networks. In this paper, we focus on a typical type of deterministic …
of gene regulatory networks. In this paper, we focus on a typical type of deterministic …
A BDD-Based Approach to Finite-Time Control of Boolean Networks
F Motoyama, K Kobayashi… - IEICE Transactions on …, 2024 - search.ieice.org
Control of complex networks such as gene regulatory networks is one of the fundamental
problems in control theory. A Boolean network (BN) is one of the mathematical models in …
problems in control theory. A Boolean network (BN) is one of the mathematical models in …