| 000 | 04785nam a22006015i 4500 | ||
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| 001 | 978-3-030-28042-0 | ||
| 003 | DE-He213 | ||
| 005 | 20240423124955.0 | ||
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| 008 | 190801s2019 sz | s |||| 0|eng d | ||
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| 024 | 7 |
_a10.1007/978-3-030-28042-0 _2doi |
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_a570.285 _223 |
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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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| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
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| 490 | 1 |
_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. | |
| 650 | 0 | _aNumerical analysis. | |
| 650 | 0 |
_aComputer science _xMathematics. |
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| 650 | 0 | _aMathematical statistics. | |
| 650 | 1 | 4 | _aComputational and Systems Biology. |
| 650 | 2 | 4 | _aNumerical Analysis. |
| 650 | 2 | 4 | _aProbability and Statistics in Computer Science. |
| 650 | 2 | 4 | _aMathematical Applications in Computer Science. |
| 700 | 1 |
_aČeška, Milan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aPaoletti, Nicola. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030280413 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030280437 |
| 830 | 0 |
_aLecture Notes in Bioinformatics, _x2366-6331 ; _v11705 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-28042-0 |
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