Titlebook: Computational Methods in Systems Biology; 21st International C Jun Pang,Joachim Niehren Conference proceedings 2023 The Editor(s) (if appli

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Information procurement decisionsta networks. . is based on translating the problem of finding attractors of a bounded size into a satisfiability problem to take advantage of state-of-the-art SAT encodings and solvers. . accepts an automata network and outputs attractors in ascending size order until the bound is reached. .’s main

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Information procurement decisionsn of potential variants. We describe an approach to the search for asynchronous cyclic attractors of Boolean networks that exploits, in a novel way, the established technique of elimination of components. Computation of attractors of simplified networks allows the identification of a limited number

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Developing and evaluating optionscal and computational models offer an ethical alternative to in-vivo analyses of cardiac electrophysiological properties. However, the inherent multiscale complexity of the underlying nonlinear dynamics still limits model applicability and predictability. In previous contributions, we implemented a

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Developing and evaluating optionsa positive feedback loop on the protein concentration. We couple the feedback model with a simple description of the cell cycle, in which a division event is triggered when the cell volume reaches a critical threshold. Following the division we either track only one of the daughter cells (single cel

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,Phenotype Control of Partially Specified Boolean Networks, interactions is not completely known. Phenotype control aims to stabilise the network in states exhibiting specific traits..In this paper, we define the phenotype control problem in the context of asynchronous PSBNs and propose a novel semi-symbolic algorithm for solving this problem with permanent

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