Hybrid systems biology : 6th International Workshop, HSB 2019, Prague, Czech Republic, April 6-7, 2019 : revised selected papers / Milan Češka, Nicola Paoletti (eds.).
HSB (Workshop) (6th : 2019 : Prague, Czech Republic); Češka, M. (Milan), editor.; Paoletti, Nicola, editor.
2019
QA76.9.L63 H73 2019eb
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Title Hybrid systems biology : 6th International Workshop, HSB 2019, Prague, Czech Republic, April 6-7, 2019 : revised selected papers / Milan Češka, Nicola Paoletti (eds.).
Meeting Name HSB (Workshop) (6th : 2019 : Prague, Czech Republic)
ISBN 9783030280420 (electronic book)
303028042X (electronic book)
9783030280413
3030280411
9783030280413
DOI https://doi.org/10.1007/978-3-030-28042-0
https://doi.org/10.1007/978-3-030-28
Published Cham, Switzerland : Springer, [2019]
Language English
Description 1 online resource (xvi, 181 pages) : illustrations.
Other Standard Identifiers 10.1007/978-3-030-28042-0 doi
10.1007/978-3-030-28
Call Number QA76.9.L63 H73 2019eb
Dewey Decimal Classification 005.101/5113
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed August 29, 2019).
Added Author Češka, M. (Milan), editor.
Paoletti, Nicola, editor.
Series LNCS sublibrary. SL 8, Bioinformatics.
Lecture notes in computer science. Lecture notes in bioinformatics ; 11705.
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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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