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Computational Methods in Systems Biology

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Cover of 'Computational Methods in Systems Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Sequential Reprogramming of Boolean Networks Made Practical
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    Chapter 2 Sequential Reprogramming of Biological Network Fate
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    Chapter 3 Control Variates for Stochastic Simulation of Chemical Reaction Networks
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    Chapter 4 Effective Computational Methods for Hybrid Stochastic Gene Networks
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    Chapter 5 On Chemical Reaction Network Design by a Nested Evolution Algorithm
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    Chapter 6 Designing Distributed Cell Classifier Circuits Using a Genetic Algorithm
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    Chapter 7 Extending a Hodgkin-Huxley Model for Larval Drosophila Muscle Excitability via Particle Swarm Fitting
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    Chapter 8 Cell Volume Distributions in Exponentially Growing Populations
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    Chapter 9 Transient Memory in Gene Regulation
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    Chapter 10 A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors
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    Chapter 12 Fast Enumeration of Non-isomorphic Chemical Reaction Networks
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    Chapter 13 A Large-Scale Assessment of Exact Model Reduction in the BioModels Repository
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    Chapter 14 Computing Difference Abstractions of Metabolic Networks Under Kinetic Constraints
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    Chapter 15 BRE:IN - A Backend for Reasoning About Interaction Networks with Temporal Logic
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    Chapter 16 The Kappa Simulator Made Interactive
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    Chapter 17 Biochemical Reaction Networks with Fuzzy Kinetic Parameters in Snoopy
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    Chapter 18 Compartmental Modeling Software: A Fast, Discrete Stochastic Framework for Biochemical and Epidemiological Simulation
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    Chapter 19 Spike – Reproducible Simulation Experiments with Configuration File Branching
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    Chapter 20 KAMIStudio: An Environment for Biocuration of Cellular Signalling Knowledge
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    Chapter 21 A New Version of DAISY to Test Structural Identifiability of Biological Models
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    Chapter 22 Semi-quantitative Abstraction and Analysis of Chemical Reaction Networks (Extended Abstract)
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    Chapter 23 Bayesian Parameter Estimation for Stochastic Reaction Networks from Steady-State Observations
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    Chapter 24 Wasserstein Distances for Estimating Parameters in Stochastic Reaction Networks
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    Chapter 25 On Inferring Reactions from Data Time Series by a Statistical Learning Greedy Heuristics
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    Chapter 26 Barbaric Robustness Monitoring Revisited for STL* in Parasim
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    Chapter 27 Symmetry Breaking for GATA-1/PU.1 Model
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    Chapter 28 Scalable Control of Asynchronous Boolean Networks
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    Chapter 29 Transcriptional Response of SK-N-AS Cells to Methamidophos (Extended Abstract)
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    Chapter 30 Separators for Polynomial Dynamic Systems with Linear Complexity
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    Chapter 31 Bounding First Passage Times in Chemical Reaction Networks
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    Chapter 32 Data-Informed Parameter Synthesis for Population Markov Chains
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Title
Computational Methods in Systems Biology
Published by
Springer International Publishing, November 2019
DOI 10.1007/978-3-030-31304-3
ISBNs
978-3-03-031303-6, 978-3-03-031304-3
Editors

Luca Bortolussi, Guido Sanguinetti

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X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Professor 1 20%
Student > Ph. D. Student 1 20%
Student > Postgraduate 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Chemical Engineering 1 20%
Mathematics 1 20%
Physics and Astronomy 1 20%