Results 1 to 10 of about 167,452 (165)
Therapeutic target discovery using Boolean network attractors: improvements of kali [PDF]
Royal Society Open Science, 2018 In a previous article, an algorithm for identifying therapeutic targets in Boolean networks modelling pathological mechanisms was introduced. In the present article, the improvements made on this algorithm, named kali, are described.
Arnaud Poret, Carito Guziolowski
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Concepts in Boolean network modeling: What do they all mean? [PDF]
Computational and Structural Biotechnology Journal, 2020 Boolean network models are one of the simplest models to study complex dynamic behavior in biological systems. They can be applied to unravel the mechanisms regulating the properties of the system or to identify promising intervention targets.
Julian D. Schwab +4 more
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Extended robust boolean network of budding yeast cell cycle
Journal of Medical Signals and Sensors, 2020 Background: How to explore the dynamics of transition probabilities between phases of budding yeast cell cycle (BYCC) network based on the dynamics of protein activities that control this network?
Sajad Shafiekhani +3 more
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Predicting Variabilities in Cardiac Gene Expression with a Boolean Network Incorporating Uncertainty. [PDF]
PLoS ONE, 2015 Gene interactions in cells can be represented by gene regulatory networks. A Boolean network models gene interactions according to rules where gene expression is represented by binary values (on / off or {1, 0}). In reality, however, the gene's state can
Melanie Grieb +7 more
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Random Networks with Quantum Boolean Functions
Mathematics, 2021 We propose quantum Boolean networks, which can be classified as deterministic reversible asynchronous Boolean networks. This model is based on the previously developed concept of quantum Boolean functions.
Mario Franco +3 more
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Reducing Boolean Networks with Backward Boolean Equivalence [PDF]
, 2021 Boolean Networks (BNs) are established models to qualitatively describe biological systems. The analysis of BNs might be infeasible for medium to large BNs due to the state-space explosion problem. We propose a novel reduction technique called \emph{Backward Boolean Equivalence} (BBE), which preserves some properties of interest of BNs.
Georgios Argyris +4 more
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Synchronization of Boolean networks with chaos‐driving and its application in image cryptosystem
IET Image Processing, 2023 This paper proposes a Boolean network model with high dimensional chaos driving and investigates the synchronization of the chaos‐driven Boolean network with a semi‐tensor product.
Peng‐Fei Yan +4 more
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Interpolative Boolean Networks [PDF]
Complexity, 2017 Boolean networks are used for modeling and analysis of complex systems of interacting entities. Classical Boolean networks are binary and they are relevant for modeling systems with complex switch-like causal interactions. More descriptive power can be provided by the introduction of gradation in this model.
Vladimir Dobrić +4 more
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Analysis and practical guideline of constraint-based boolean method in genetic network inference. [PDF]
PLoS ONE, 2012 Boolean-based method, despite of its simplicity, would be a more attractive approach for inferring a network from high-throughput expression data if its effectiveness has not been limited by high false positive prediction.
Treenut Saithong +3 more
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An attractor-based complexity measurement for Boolean recurrent neural networks. [PDF]
PLoS ONE, 2014 We provide a novel refined attractor-based complexity measurement for Boolean recurrent neural networks that represents an assessment of their computational power in terms of the significance of their attractor dynamics.
Jérémie Cabessa, Alessandro E P Villa
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