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Titlebook: Hybrid Systems Biology; Fourth International Alessandro Abate,David Šafránek Conference proceedings 2015 Springer International Publishing

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Reconstructing Statistics of Promoter Switching from Reporter Protein Population Snapshot Dataerved fluorescence levels are only indirect measurements of the relevant promoter activity. At the level of population averages, reconstruction of mean activity profiles from mean fluorescence profiles has been addressed with satisfactory results. At the single cell level, however, promoter activity
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Parallelized Parameter Estimation of Biological Pathway Models technique is an online procedure for verifying whether a numerically generated trajectory of a model satisfies a property expressed in bounded linear temporal logic. Using this procedure, we construct a statistical model checking algorithm which exploits the massive parallelism offered by GPUs whil
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High-Performance Discrete Bifurcation Analysis for Piecewise-Affine Dynamical Systems analysis which focuses on behaviour of phase portraits under variations of parameters is of great importance. We propose a novel method for bifurcation analysis that employs coloured model checking to analyse phase portraits bifurcation in rectangular abstractions of piecewise-affine systems. The a
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Model-Based Whole-Genome Analysis of DNA Methylation Fidelityme and across different cell types. Our approach uses a stochastic model of DNA methylation across generations and trains it using data obtained through next generation sequencing. By training the model locally, i.e. learning its parameters based on observations in a specific genomic region, we can
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Studying Emergent Behaviours in Morphogenesis Using Signal Spatio-Temporal Logice extremely challenging to execute and analyse. Here we propose a formal analysis of the emergent behaviour of stochastic reaction diffusion systems in terms of Signal Spatio-Temporal Logic, a recently proposed logic for reasoning on spatio-temporal systems. We present a formal analysis of the spati
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Efficient Reduction of Kappa Models by Static Inspection of the Rule-Setenes denote either an activation or inhibition relation. However, when designing experiments, it is important to be precise about the low-level mechanistic details as to how each such relation is implemented. The rule-based modelling language Kappa allows to unambiguously specify mechanistic details
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