UID:
almahu_9949357551902882
Umfang:
XXII, 311 p. 87 illus., 72 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783031150340
Serie:
Lecture Notes in Bioinformatics, 13447
Inhalt:
This book constitutes the refereed proceedings of the 20th International Conference on Computational Methods in Systems Biology, CMSB 2022, held in Bucharest, Romania, in September 2022. The 13 full papers and 4 tool papers were carefully reviewed and selected from 43 submissions. CMSB focuses on modeling, simulation, analysis, design and control of biological systems. The papers are arranged thematically as follows: Chemical reaction networks; Boolean networks; continuous and hybrid models; machine learning; software.
Anmerkung:
Chemical Reaction Networks Algebraic Biochemistry: a Framework for On-line Analog Computation in Cells -- Abstract Simulation of Reaction Networks via Boolean Networks -- Abstraction-Based Segmental Simulation of Chemical Reaction Networks -- Qualitative dynamics of chemical reaction networks: an investigation using partial tropical equilibrations -- Boolean Networks Prioritization of candidate genes through Boolean networks -- Variable Stabilisation in Boolean Monotonic Model Pools -- Variable-Depth Simulation of Most Permissive Boolean Networks -- Minimal trap spaces of Logical models are maximal siphons of their Petri net encoding -- Continuous and Hybrid Models Stability versus Metastability in a Model of Skin Fages Exact linear reduction for rational dynamical systems -- Limit cycle analysis of a class of hybrid gene regulatory networks -- Machine Learning Bayesian learning of effective chemical master equations in crowded intracellular conditions -- Probabilistic Multivariate Early Warning Signals -- A Meta-Species Language for Chemical Reaction Networks -- Automated Generation of Conditional Moment Equations for Stochastic Reaction Networks -- An Extension of ERODE to Reduce Boolean Networks by Backward Boolean Equivalence -- 2.0: Modelling and Analysis of Regulated Rule-based Systems.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031150333
Weitere Ausg.:
Printed edition: ISBN 9783031150357
Sprache:
Englisch
DOI:
10.1007/978-3-031-15034-0
URL:
https://doi.org/10.1007/978-3-031-15034-0
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