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Systems Biology

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Cover of 'Systems Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Conceptual Challenges in the Theoretical Foundations of Systems Biology
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    Chapter 2 An Integrative Approach Toward Biology, Organisms, and Cancer
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    Chapter 3 Conceptual Challenges of the Systemic Approach in Understanding Cell Differentiation
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    Chapter 4 A Primer on Mathematical Modeling in the Study of Organisms and Their Parts
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    Chapter 5 The Search for System’s Parameters
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    Chapter 6 Inverse Problems in Systems Biology: A Critical Review
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    Chapter 7 Systems Biology Approach and Mathematical Modeling for Analyzing Phase-Space Switch During Epithelial-Mesenchymal Transition
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    Chapter 8 Parameters Estimation in Phase-Space Landscape Reconstruction of Cell Fate: A Systems Biology Approach
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    Chapter 9 Complexity of Biochemical and Genetic Responses Reduced Using Simple Theoretical Models
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    Chapter 10 Systems Biology Modeling of Nonlinear Cancer Dynamics
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    Chapter 11 Endogenous Molecular-Cellular Network Cancer Theory: A Systems Biology Approach
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    Chapter 12 A Network-Based Integrative Workflow to Unravel Mechanisms Underlying Disease Progression
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    Chapter 13 Spatiotemporal Fluctuation Analysis of Molecular Diffusion Laws in Live-Cell Membranes
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    Chapter 14 A Method for Cross-Species Visualization and Analysis of RNA-Sequence Data
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    Chapter 15 Multi-agent Simulations of Population Behavior: A Promising Tool for Systems Biology
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    Chapter 16 Metabolomics: Challenges and Opportunities in Systems Biology Studies
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    Chapter 17 Systems Biology-Driven Hypotheses Tested In Vivo: The Need to Advancing Molecular Imaging Tools
Attention for Chapter 5: The Search for System’s Parameters
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Chapter title
The Search for System’s Parameters
Chapter number 5
Book title
Systems Biology
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7456-6_5
Pubmed ID
Book ISBNs
978-1-4939-7455-9, 978-1-4939-7456-6
Authors

Alessandro Giuliani

Abstract

The analysis of biological data asks for a delicate balance of content-specific and procedural knowledge; this is why it is virtually impossible to apply standard mathematical and statistical recipes to systems biology.The separation of the important part of information from singular (and largely irrelevant) details implies a continuous interchange between biological and statistical knowledge. The generalization ability of the models must be the principal focus of system's parameter estimation, while the multi-scale character of biological regulation orients the modeling style toward data-driven strategies based on the correlation structure of the analyzed systems.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Professor 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 33%
Medicine and Dentistry 1 33%
Unknown 1 33%