Titlebook: Computational Methods in Systems Biology; 17th International C Luca Bortolussi,Guido Sanguinetti Conference proceedings 2019 Springer Natur

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书目名称Computational Methods in Systems Biology影响因子(影响力)




书目名称Computational Methods in Systems Biology影响因子(影响力)学科排名




书目名称Computational Methods in Systems Biology网络公开度




书目名称Computational Methods in Systems Biology网络公开度学科排名




书目名称Computational Methods in Systems Biology被引频次




书目名称Computational Methods in Systems Biology被引频次学科排名




书目名称Computational Methods in Systems Biology年度引用




书目名称Computational Methods in Systems Biology年度引用学科排名




书目名称Computational Methods in Systems Biology读者反馈




书目名称Computational Methods in Systems Biology读者反馈学科排名

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Sequential Reprogramming of Biological Network Fatee. The rewiring is caused by specific network action either inhibiting or over-expressing targeted molecules. In some cases, a therapy abides by a time-scheduled drug administration protocol. Furthermore, some diseases are induced by a sequence of mutations leading to a sequence of actions on molecu

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Control Variates for Stochastic Simulation of Chemical Reaction Networks. However, reducing the statistical uncertainty of the corresponding estimators requires the generation of a large number of simulation runs, which is computationally expensive. To reduce the number of necessary runs, we propose a variance reduction technique based on control variates. We exploit co

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Effective Computational Methods for Hybrid Stochastic Gene Networksdiscontinuous and smooth variation. Hybrid stochastic processes, in particular piecewise-deterministic Markov processes (PDMP), are well adapted for describing such situations. PDMPs approximate the jump Markov processes traditionally used as models for stochastic chemical reaction networks. Althoug

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On Chemical Reaction Network Design by a Nested Evolution Algorithmial vesicles. In this perspective, we consider Chemical Reaction Networks (CRN) as a programming language, and investigate the CRN program synthesis problem. Recent work has shown that CRN interpreted by differential equations are Turing-complete and can be seen as analog computers where the molecul

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Cell Volume Distributions in Exponentially Growing Populationspulations. Here we consider a simple and tractable model in which cell volumes grow exponentially, cell division is symmetric, and its rate is volume-dependent. Consistently with previous observations, the model is shown to sustain oscillatory behaviour with alternating phases of slow and fast growt

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Reachability Design Through Approximate Bayesian Computation time-bounds. In the case of stochastic models reachability is associated with a measure of probability which depends on the model’s parameters. In this paper we propose a methodology that, given a reachability specification (for a parametric stochastic model), allows for computing a . probability d