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_aHybrid Systems Biology _h[electronic resource] : _b6th International Workshop, HSB 2019, Prague, Czech Republic, April 6-7, 2019, Revised Selected Papers / _cedited by Milan Češka, Nicola Paoletti. |
| 250 | _a1st ed. 2019. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
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| 300 |
_aXVI, 181 p. 67 illus., 39 illus. in color. _bonline resource. |
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_aLecture Notes in Bioinformatics, _x2366-6331 ; _v11705 |
|
| 505 | 0 | _aA 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. | |
| 520 | _aThis 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. . | ||
| 650 | 0 |
_aBioinformatics. _99561 |
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| 650 | 0 |
_aNumerical analysis. _94603 |
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_aComputer science _xMathematics. _93866 |
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_aMathematical statistics. _99597 |
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_aComputational and Systems Biology. _931619 |
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_aNumerical Analysis. _94603 |
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_aProbability and Statistics in Computer Science. _931857 |
| 650 | 2 | 4 |
_aMathematical Applications in Computer Science. _931683 |
| 700 | 1 |
_aČeška, Milan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _984677 |
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| 700 | 1 |
_aPaoletti, Nicola. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _984678 |
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_aSpringerLink (Online service) _984681 |
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