Computational Methods in Systems Biology 17th International Conference CMSB 2019 Trieste Italy September 18 20 2019 Proceedings 1st Edition by Luca Bortolussi,Guido Sanguinetti ISBN 3030313034 978-3030313036

Computational Methods in Systems Biology: 17th International Conference, CMSB 2019, Trieste, Italy, September 18–20, 2019, Proceedings 1st Edition by Luca Bortolussi, Guido Sanguinetti – Ebook PDF Instant Download/Delivery: 3030313034, 978-3030313036

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Product details:

ISBN 10: 3030313034 

ISBN 13: 978-3030313036

Author: Luca Bortolussi, Guido Sanguinetti

Table of contents:

 Chapter 1 Sequential Reprogramming of Boolean Networks Made Practical
Chapter 2 Sequential Reprogramming of Biological Network Fate
Chapter 3 Control Variates for Stochastic Simulation of Chemical Reaction Networks
Chapter 4 Effective Computational Methods for Hybrid Stochastic Gene Networks
Chapter 5 On Chemical Reaction Network Design by a Nested Evolution Algorithm
Chapter 6 Designing Distributed Cell Classifier Circuits Using a Genetic Algorithm
Chapter 7 Investigating a Hodgkin-Huxley Type Model for Drosophila Larval Neuromuscular Junctions via Particle Swarm Fitting
Chapter 8 Cell Volume Distributions in Exponentially Growing Populations
Chapter 9 Transient Memory in Gene Regulation
Chapter 10 A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors
Chapter 11 Reachability Design through Approximate Bayesian Computation
Chapter 12 Fast Enumeration of Non-Isomorphic Chemical Reaction Networks
Chapter 13 A Large-Scale Assessment of Exact Model Reduction in the BioModels Repository
Chapter 14 Computing Difference Abstractions of Metabolic Networks Under Kinetic Constraints
Chapter 15 BRE:IN – A Backend for Reasoning about Interaction Networks with Temporal Logic
Chapter 16 The Kappa Simulator Made Interactive
Chapter 17 Biochemical Reaction Networks with Fuzzy Kinetic Parameters in Snoopy
Chapter 18 Compartmental Modeling Software: A Fast, Discrete Stochastic Framework for Biochemical and Epidemiological Simulation
Chapter 19 Spike – Reproducible Simulation Experiments with Configuration File Branching
Chapter 20 KAMIStudio: An Environment for Biocuration of Cellular Signalling Knowledge
Chapter 21 A New Version of DAISY to Test Structural Identifiability of Biological Models
Chapter 22 Semi-Quantitative Abstraction and Analysis of Chemical Reaction Networks
Chapter 23 Bayesian Parameter Estimation for Stochastic Reaction Networks from Steady-State Observations
Chapter 24 Wasserstein Distances for Estimating Parameters in Stochastic Reaction Networks
Chapter 25 On Inferring Reactions from Data Time Series by a Statistical Learning Greedy Heuristics
Chapter 26 Barbaric Robustness Monitoring Revisited for STL* in Parasim
Chapter 27 Symmetry Breaking for GATA-1/PU.1 Model
Chapter 28 Scalable Control of Asynchronous Boolean Networks
Chapter 29 Transcriptional Response of SK-N-AS Cells to Methamidophos
Chapter 30 Separators for Polynomial Dynamic Systems with Linear Complexity
Chapter 31 Bounding First Passage Times in Chemical Reaction Networks
Chapter 32 Data-Informed Parameter Synthesis for Population Markov Chains

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