Hybrid Systems Biology
Springer International Publishing (Verlag)
978-3-030-28041-3 (ISBN)
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.
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.
| Erscheinungsdatum | 02.08.2019 |
|---|---|
| Reihe/Serie | Lecture Notes in Bioinformatics | Lecture Notes in Computer Science |
| Zusatzinfo | XVI, 181 p. 67 illus., 39 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 314 g |
| Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
| Naturwissenschaften ► Biologie | |
| Schlagworte | Bioinformatics • Biological Networks • Computational Biology • Differential Equations • estimation • inference • Logic • markov chains • Numerical Methods • Ordinary differential equations • Probability • Stochastic Processes • synthesis • systems biology • timed and hybrid models • verification |
| ISBN-10 | 3-030-28041-1 / 3030280411 |
| ISBN-13 | 978-3-030-28041-3 / 9783030280413 |
| Zustand | Neuware |
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