Hybrid Systems Biology : 6th International Workshop, HSB 2019, Prague, Czech Republic, April 6-7, 2019, Revised Selected Papers / edited by Milan Češka, Nicola Paoletti.

Format:

Book

Contributor:

Češka, M. (Milan), editor.

Paoletti, Nicola, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in bioinformatics ; 11705.

Lecture Notes in Bioinformatics ; 11705

Language:

English

Subjects (All):

Bioinformatics.

Numerical analysis.

Mathematical statistics.

Computer science--Mathematics.

Computer science.

Computational Biology/Bioinformatics.

Numeric Computing.

Probability and Statistics in Computer Science.

Math Applications in Computer Science.

Local Subjects:

Computational Biology/Bioinformatics.

Numeric Computing.

Probability and Statistics in Computer Science.

Math Applications in Computer Science.

Physical Description:

1 online resource (XVI, 181 pages) : 67 illustrations, 39 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

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. .

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-28042-0

9783030280420

Access Restriction:

Restricted for use by site license.