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Titlebook: Hybrid Systems Biology; 6th International Wo Milan Češka,Nicola Paoletti Conference proceedings 2019 Springer Nature Switzerland AG 2019 co

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书目名称Hybrid Systems Biology
副标题6th International Wo
编辑Milan Češka,Nicola Paoletti
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Hybrid Systems Biology; 6th International Wo Milan Češka,Nicola Paoletti Conference proceedings 2019 Springer Nature Switzerland AG 2019 co
描述.This book constitutes the thoroughly refereed proceedings of the 6th International Workshop on Hybrid Systems Biology, HSB 2019, held in Prague, Czech Republic, in April 2019..The 8 full papers presented in this book together with 1 short paper and 3 invited papers were carefully reviewed and selected from 13 submissions. They cover topics such as: modeling and analysis of metabolic, signaling, and genetic regulatory networks in living cells; models of tissues, organs, physiological models; models and methods coping with incomplete, uncertain and heterogeneous information including learning for biological systems, parametric synthesis and inference; stochastic and hybrid models in biology; hierarchical systems for multi-scale, multi-domain analysis; abstraction, approximation, discretization, and model reduction techniques; modeling, analysis and design for synthetic biology, cyber-biological systems and biomedical studies (e.g. therapies, teleoperation); game-theoretical frameworks and population models in biology (e.g. mixed-effects and Bayesian modeling); biological applications of quantitative and formal analysis techniques (e.g. reachability computation, model checking, abstr
出版日期Conference proceedings 2019
关键词computational biology; biological networks; systems biology; timed and hybrid models; estimation; verific
版次1
doihttps://doi.org/10.1007/978-3-030-28042-0
isbn_softcover978-3-030-28041-3
isbn_ebook978-3-030-28042-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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A Multimodular System to Study the Impact of a Focal Lesion in Neuronal Cell Culturesnce and constitutes a fundamental contribution towards the development of innovative intervention strategies in case of brain damage. We address this challenge by making use of a multimodular system able to confine the growth of cells on substrate-embedded microelectrode arrays to investigate the in
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Controlling Noisy Expression Through Auto Regulation of Burst Frequency and Protein Stabilityst frequency or protein decay rate affects the stochastic distribution of protein level. Using a tractable hybrid mathematical framework, we show that the two feedback pathways lead to the same mean and noise predictions in the small-noise regime. Away from the small-noise regime, feedback in decay
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