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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 4: A Primer on Mathematical Modeling in the Study of Organisms and Their Parts
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Chapter title
A Primer on Mathematical Modeling in the Study of Organisms and Their Parts
Chapter number 4
Book title
Systems Biology
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7456-6_4
Pubmed ID
Book ISBNs
978-1-4939-7455-9, 978-1-4939-7456-6
Authors

Maël Montévil

Abstract

Mathematical modeling is a very powerful tool for understanding natural phenomena. Such a tool carries its own assumptions and should always be used critically. In this chapter, we highlight the key ingredients and steps of modeling and focus on their biological interpretation. In particular, we discuss the role of theoretical principles in writing models. We also highlight the meaning and interpretation of equations. The main aim of this chapter is to facilitate the interaction between biologists and mathematical modelers. We focus on the case of cell proliferation and motility in the context of multicellular organisms.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 36%
Student > Bachelor 2 18%
Professor 2 18%
Student > Master 1 9%
Student > Doctoral Student 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 36%
Medicine and Dentistry 2 18%
Arts and Humanities 1 9%
Computer Science 1 9%
Engineering 1 9%
Other 0 0%
Unknown 2 18%