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In Silico Systems Biology

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Cover of 'In Silico Systems Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Defining Systems Biology: A Brief Overview of the Term and Field
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    Chapter 2 Approaches to Modeling Gene Regulatory Networks: A Gentle Introduction
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    Chapter 3 Integration of Genomic Information with Biological Networks Using Cytoscape
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    Chapter 4 Visualization and Analysis of Biological Networks
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    Chapter 5 Modeling Signaling Networks with Different Formalisms: A Preview
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    Chapter 6 From a Biological Hypothesis to the Construction of a Mathematical Model
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    Chapter 7 Practical Use of BiNoM: A Biological Network Manager Software
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    Chapter 8 Using Chemical Kinetics to Model Biochemical Pathways
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    Chapter 9 Simulation of Stochastic Kinetic Models
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    Chapter 10 BioModels Database: A Repository of Mathematical Models of Biological Processes
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    Chapter 11 Supporting SBML as a Model Exchange Format in Software Applications
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    Chapter 12 Controlled Annotations for Systems Biology
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    Chapter 13 Bayesian Approaches for Mechanistic Ion Channel Modeling
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    Chapter 14 Building models using Reactome pathways as templates.
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    Chapter 15 Uniform Curation Protocol of Metazoan Signaling Pathways to Predict Novel Signaling Components
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    Chapter 16 Bioinformatics Workflows and Web Services in Systems Biology Made Easy for Experimentalists
Attention for Chapter 1: Defining Systems Biology: A Brief Overview of the Term and Field
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Citations

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Chapter title
Defining Systems Biology: A Brief Overview of the Term and Field
Chapter number 1
Book title
In Silico Systems Biology
Published by
Humana Press, January 2013
DOI 10.1007/978-1-62703-450-0_1
Book ISBNs
978-1-62703-449-4, 978-1-62703-450-0, 978-1-62703-449-4, 978-1-62703-450-0
Authors

Maria Victoria Schneider

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Latvia 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 22%
Researcher 6 22%
Professor 3 11%
Student > Master 2 7%
Student > Bachelor 1 4%
Other 4 15%
Unknown 5 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 30%
Agricultural and Biological Sciences 5 19%
Engineering 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Computer Science 1 4%
Other 3 11%
Unknown 6 22%