AEON. py: Python library for attractor analysis in asynchronous Boolean networks

N Beneš, L Brim, O Huvar, S Pastva, D Šafránek… - …, 2022 - academic.oup.com
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 …

Fault Detectability of Asynchronous Delayed Boolean Control Networks With Sampled-Data Control

L Tong, J Liang - IEEE Transactions on Network Science and …, 2023 - ieeexplore.ieee.org
In this article, the fault detectability problem is addressed for the asynchronous delayed
Boolean control networks (ADBCNs) with sampled-data control (SDC) scheme, which is …

Phenotype Control of Partially Specified Boolean Networks

N Beneš, L Brim, S Pastva, D Šafránek… - … Methods in Systems …, 2023 - Springer
Abstract Partially specified Boolean networks (PSBNs) represent a promising framework for
the qualitative modelling of biological systems in which the logic of interactions is not …

An open problem: Why are motif-avoidant attractors so rare in asynchronous Boolean networks?

S Pastva, KH Park, O Huvar, JC Rozum… - arXiv preprint arXiv …, 2024 - arxiv.org
Asynchronous Boolean networks are a type of discrete dynamical system in which each
variable can take one of two states, and a single variable state is updated in each time step …

The Reasoning Engine: A Satisfiability Modulo Theories-Based Framework for Reasoning About Discrete Biological Models

B Yordanov, S Dunn, C Gravill, H Arora… - Journal of …, 2023 - liebertpub.com
We present a framework called the Reasoning Engine, which implements Satisfiability
Modulo Theories (SMT)-based methods within a unified computational environment to …

Variable Stabilisation in Boolean Monotonic Model Pools

S Pastva - International Conference on Computational Methods in …, 2022 - Springer
One of the central issues in logical modelling is whether a certain property of the model
emerges due to its topological structure (ie its influence graph), or due to its dynamical …

Characterizing Gene Regulatory Network Ensembles in Kidney Injury and Repair

E Tannenbaum, D Markiewitz, T Kalisky, H Kugler - bioRxiv, 2025 - biorxiv.org
The inference of gene regulatory networks (GRNs) from single-cell RNAseq data allows for
mechanistic characterization of the different cell states and their dynamics in complex …

[PDF][PDF] Towards Practical Identification of Asynchronous Boolean Networks

O LOŠŤÁK - is.muni.cz
Abstract Systems biology is an intersection of biology, mathematics, and computational
science, marking a shift from traditional experimental approaches by holistically …

[PDF][PDF] Towards Practical Identification of Asynchronous Boolean Networks

O LOSTAK - is.muni.cz
Abstract Systems biology is an intersection of biology mathematics, and computational
science, marking a shift from traditional experimental approaches by holistically …

[PDF][PDF] Influence Maximization in Partially Specified Boolean Networks

Š VARGA - is.muni.cz
Mean-field approximation methods are successfully used to analyze spreading processes in
network models, with great utilization in epidemiology. There have been attempts to adopt …