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" Hybrid systems biology : "
Milan Češka, Nicola Paoletti (eds.).
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BL
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| Record Number
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862815
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| Main Entry
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HSB (Workshop)(6th :2019 :, Prague, Czech Republic)
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| Title & Author
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Hybrid systems biology : : 6th International Workshop, HSB 2019, Prague, Czech Republic, April 6-7, 2019 : revised selected papers /\ Milan Češka, Nicola Paoletti (eds.).
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| Publication Statement
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Cham, Switzerland :: Springer,, [2019]
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| Series Statement
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Lecture notes in bioinformatics,; 11705
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LNCS sublibrary: SL 8 -- Bioinformatics
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| Page. NO
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1 online resource (xvi, 181 pages) :: illustrations (some color)
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| ISBN
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3030280411
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: 303028042X
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: 3030280438
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: 9783030280413
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: 9783030280420
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: 9783030280437
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9783030280413
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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A multimodular system to study the impact of a focal lesion in neuronal cell cultures -- Reachability analysis and hybrid systems biology -- In Memoriam Oded Maler -- Reaction networks, oscillatory motifs and parameter estimation in biochemical systems -- Fixed-point computation of equilibria in biochemical regulatory networks -- Rejection-based simulation of stochastic spreading processes on complex networks -- Controlling noisy expression through auto regulation of burst frequency and protein stability -- Extracting landscape features from single particle trajectories -- A hybrid HMM approach for the dynamics of DNA methylation -- Using a hybrid approach to model central carbon metabolism across the cell cycle -- Data-informed parameter synthesis for population Markov chains-. rPrism -- A software for reactive weighted state transition models -- Hybrid modeling of metabolic-regulatory networks.
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| Abstract
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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, abstract interpretation, bifurcation theory, stability and sensitivity analysis); efficient techniques for combined and heterogeneous (stochastic/deterministic, spatial/non-spatial) simulations for biological models; modeling languages and logics for biological systems with related analysis and simulation tools; and control architectures of biological systems including biology-in-the-loop systems and bio-robotics.
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| Subject
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Hybrid systems, Congresses.
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Systems biology, Congresses.
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Hybrid systems.
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Systems biology.
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| Dewey Classification
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005.101/5113
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| LC Classification
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QA76.9.L63H73 2019eb
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| Added Entry
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Češka, M., (Milan)
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Paoletti, Nicola
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