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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 Modeling and Engineering Promoters with Pre-defined RNA Production Dynamics in Escherichia Coli
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    Chapter 2 Deep Abstractions of Chemical Reaction Networks
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    Chapter 3 Derivation of a Biomass Proxy for Dynamic Analysis of Whole Genome Metabolic Models
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    Chapter 4 Computing Diverse Boolean Networks from Phosphoproteomic Time Series Data
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    Chapter 5 Characterization of the Experimentally Observed Clustering of VEGF Receptors
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    Chapter 6 Synthesis for Vesicle Traffic Systems
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    Chapter 7 Formal Analysis of Network Motifs
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    Chapter 8 Buffering Gene Expression Noise by MicroRNA Based Feedforward Regulation
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    Chapter 9 Stochastic Rate Parameter Inference Using the Cross-Entropy Method
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    Chapter 10 Experimental Biological Protocols with Formal Semantics
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    Chapter 11 Robust Data-Driven Control of Artificial Pancreas Systems Using Neural Networks
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    Chapter 12 Programming Substrate-Independent Kinetic Barriers with Thermodynamic Binding Networks
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    Chapter 13 A Trace Query Language for Rule-Based Models
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    Chapter 14 Inferring Mechanism of Action of an Unknown Compound from Time Series Omics Data
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    Chapter 15 Composable Rate-Independent Computation in Continuous Chemical Reaction Networks
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    Chapter 16 ASSA-PBN 3.0 : Analysing Context-Sensitive Probabilistic Boolean Networks
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    Chapter 17 KaSa: A Static Analyzer for Kappa
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    Chapter 18 On Robustness Computation and Optimization in BIOCHAM-4
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    Chapter 19 LNA++: Linear Noise Approximation with First and Second Order Sensitivities
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    Chapter 20 Reparametrizing the Sigmoid Model of Gene Regulation for Bayesian Inference
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    Chapter 21 On the Full Control of Boolean Networks
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    Chapter 22 Systems Metagenomics: Applying Systems Biology Thinking to Human Microbiome Analysis
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Title
Computational Methods in Systems Biology
Published by
Springer International Publishing, November 2018
DOI 10.1007/978-3-319-99429-1
ISBNs
978-3-31-999428-4, 978-3-31-999429-1
Editors

Češka, Milan, Šafránek, David

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Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Postgraduate 1 25%
Unknown 2 50%
Readers by discipline Count As %
Mathematics 1 25%
Biochemistry, Genetics and Molecular Biology 1 25%
Unknown 2 50%