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Systems Biology for Signaling Networks

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Cover of 'Systems Biology for Signaling Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Systems Biology Approaches: Solving New Puzzles in a Symphonic Manner
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    Chapter 2 Current Progress in Static and Dynamic Modeling of Biological Networks
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    Chapter 3 Getting Started in Biological Pathway Construction
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    Chapter 4 From Microarray to Biology
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    Chapter 5 Computational Procedures for Model Identification
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    Chapter 6 Assembly of Logic-Based Diagrams of Biological Pathways
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    Chapter 7 Automating Mathematical Modeling of Biochemical Reaction Networks
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    Chapter 8 Strategies to Investigate Signal Transduction Pathways with Mathematical Modelling
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    Chapter 9 Inferring Transcriptional Regulatory Network
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    Chapter 10 Finding Functional Modules
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    Chapter 11 Modeling the Dynamics of Biological Networks from Time Course Data
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    Chapter 12 Decision Making in Cells
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    Chapter 13 Robustness of Neural Network Models
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    Chapter 14 Functional Modules in Protein–Protein Interaction Networks
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    Chapter 15 Mixture Model on Graphs: A Probabilistic Model for Network-Based Analysis of Proteomic Data
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    Chapter 16 Integration of Network Information for Protein Function Prediction
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    Chapter 17 Cellular-Level Gene Regulatory Networks: Their Derivation and Properties
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    Chapter 18 Tyrosine-Phosphoproteome Dynamics
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    Chapter 19 Systems Biology of the MAPK1,2 Network
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    Chapter 20 Pathway Crosstalk Network
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    Chapter 21 Crosstalk Between Mitogen-Activated Protein Kinase and Phosphoinositide-3 Kinase Signaling Pathways in Development and Disease
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    Chapter 22 Systems-Level Analyses of the Mammalian Innate Immune Response
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    Chapter 23 Molecular Basis of Protective Anti-Inflammatory Signalling by Cyclic AMP in the Vascular Endothelium
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    Chapter 24 Construction of Cancer-Perturbed Protein–Protein Interaction Network of Apoptosis for Drug Target Discovery
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    Chapter 25 Transcriptional Changes in Alzheimer’s Disease
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    Chapter 26 Pathogenesis of Obesity-Related Chronic Liver Diseases as the Study Case for the Systems Biology
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    Chapter 27 The Evolving Transcriptome of Head and Neck Squamous Cell Carcinoma
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    Chapter 28 Peptide Microarrays for a Network Analysis of Changes in Molecular Interactions in Cellular Signalling
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    Chapter 29 A Primer on Modular Mass-Action Modelling with CellML
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    Chapter 30 FERN – Stochastic Simulation and Evaluation of Reaction Networks
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    Chapter 31 Programming Biology in BlenX
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    Chapter 32 Discrete Modelling: Petri Net and Logical Approaches
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    Chapter 33 ProteoLens: A Database-Driven Visual Data Mining Tool for Network Biology
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    Chapter 34 MADNet: A Web Server for Contextual Analysis and Visualization of High-Throughput Experiments
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    Chapter 35 Erratum to: Functional Modules in Protein–Protein Interaction Networks
Overall attention for this book and its chapters
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Title
Systems Biology for Signaling Networks
Published by
Springer New York, January 2010
DOI 10.1007/978-1-4419-5797-9
ISBNs
978-1-4419-5796-2, 978-1-4419-5797-9
Authors

Sangdun Choi

Editors

Choi, Sangdun

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Chile 1 1%
Italy 1 1%
Hong Kong 1 1%
Germany 1 1%
United Kingdom 1 1%
India 1 1%
China 1 1%
Canada 1 1%
Other 0 0%
Unknown 85 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 34%
Researcher 14 14%
Student > Master 10 10%
Student > Doctoral Student 7 7%
Other 6 6%
Other 16 16%
Unknown 11 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 44%
Biochemistry, Genetics and Molecular Biology 13 13%
Computer Science 10 10%
Engineering 5 5%
Medicine and Dentistry 4 4%
Other 8 8%
Unknown 14 14%