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Titlebook: Computational Methods in Systems Biology; 7th International Co Pierpaolo Degano,Roberto Gorrieri Conference proceedings 2009 Springer-Verla

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Approximation of Event Probabilities in Noisy Cellular Processes,at approximates the probability distributions of the system at several time instances. We use examples of cellular processes to demonstrate the superiority of the reachability analysis if accurate results are required.
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Equivalence and Discretisation in Bio-PEPA,he step size and hence the maximum number of levels, by using the idea of equivalence from concurrency and process algebra. We present a novel behavioural semantic equivalence, compression bisimulation, that equates two discretisations of the same model and we show that this equivalence is a congruence with respect to the synchronisation operator.
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Probabilistic Approximations of Signaling Pathway Dynamics,twork. As a result, many interesting pathway properties can be analyzed efficiently through standard Bayesian inference techniques. We have tested our method on a model of EGF-NGF signaling pathway [1] and the results are very promising in terms of both accuracy and efficiency.
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Successful Management by Motivationfrom the biological literature. The results show that our approach is more accurate and considerably faster compared to other reported methods on these problems. Additionally, we find that the algorithm scales favourably with problem size.
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How Does Pay Influence Motivation?l knowledge about the model being verified. We demonstrate our algorithm on a variety of models from the Systems Biology literature and show that it enables faster verification than state-of-the-art techniques, even when no prior knowledge is available.
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Successful Management by Motivationel, along with the issue of attractor reachability..The power of the reduction method is illustrated by its application to a multi-valued model of the segment-polarity network Controlling segmentation in the fly Drosophila melanogaster.
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