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020 _a9783030280420
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024 7 _a10.1007/978-3-030-28042-0
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082 0 4 _a570.285
_223
082 0 4 _a570.113
_223
245 1 0 _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.
300 _aXVI, 181 p. 67 illus., 39 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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.
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
700 1 _aPaoletti, Nicola.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
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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912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
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