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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 Bio-Curation for Cellular Signalling: The KAMI Project
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    Chapter 2 Quantitative Regular Expressions for Arrhythmia Detection Algorithms
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    Chapter 3 Detecting Attractors in Biological Models with Uncertain Parameters
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    Chapter 4 Abduction Based Drug Target Discovery Using Boolean Control Network
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    Chapter 5 Probably Approximately Correct Learning of Regulatory Networks from Time-Series Data
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    Chapter 6 Identifying Functional Families of Trajectories in Biological Pathways by Soft Clustering: Application to TGF- $$\beta $$ Signaling
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    Chapter 7 Strong Turing Completeness of Continuous Chemical Reaction Networks and Compilation of Mixed Analog-Digital Programs
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    Chapter 8 A Scheme for Adaptive Selection of Population Sizes in Approximate Bayesian Computation - Sequential Monte Carlo
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    Chapter 9 Methods to Expand Cell Signaling Models Using Automated Reading and Model Checking
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    Chapter 10 A Stochastic Model for the Formation of Spatial Methylation Patterns
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    Chapter 11 Temporal Reprogramming of Boolean Networks
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    Chapter 12 Detecting Toxicity Pathways with a Formal Framework Based on Equilibrium Changes
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    Chapter 13 Data-Driven Robust Control for Type 1 Diabetes Under Meal and Exercise Uncertainties
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    Chapter 14 Graph Representations of Monotonic Boolean Model Pools
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    Chapter 15 Explaining Response to Drugs Using Pathway Logic
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    Chapter 16 Automated Property Synthesis of ODEs Based Bio-pathways Models
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    Chapter 17 TransferEntropyPT: An R Package to Assess Transfer Entropies via Permutation Tests
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    Chapter 18 KaDE: A Tool to Compile Kappa Rules into (Reduced) ODE Models
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    Chapter 19 Database of Dynamic Signatures Generated by Regulatory Networks (DSGRN)
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    Chapter 20 Pint: A Static Analyzer for Transient Dynamics of Qualitative Networks with IPython Interface
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Title
Computational Methods in Systems Biology
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-67471-1
ISBNs
978-3-31-967470-4, 978-3-31-967471-1
Editors

Jérôme Feret, Heinz Koeppl

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 5%
Other 1 5%
Student > Postgraduate 1 5%
Unknown 17 85%
Readers by discipline Count As %
Mathematics 1 5%
Computer Science 1 5%
Medicine and Dentistry 1 5%
Unknown 17 85%