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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 15: Multi-agent Simulations of Population Behavior: A Promising Tool for Systems Biology
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Chapter title
Multi-agent Simulations of Population Behavior: A Promising Tool for Systems Biology
Chapter number 15
Book title
Systems Biology
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7456-6_15
Pubmed ID
Book ISBNs
978-1-4939-7455-9, 978-1-4939-7456-6
Authors

Alfredo Colosimo

Abstract

This contribution reports on the simulation of some dynamical events observed in the collective behavior of different kinds of populations, ranging from shape-changing cells in a Petri dish to functionally correlated brain areas in vivo. The unifying methodological approach, based upon a Multi-Agent Simulation (MAS) paradigm as incorporated in the NetLogo™ interpreter, is a direct consequence of the cornerstone that simple, individual actions within a population of interacting agents often give rise to complex, collective behavior.The discussion will mainly focus on the emergence and spreading of synchronous activities within the population, as well as on the modulation of the collective behavior exerted by environmental force-fields. A relevant section of this contribution is dedicated to the extension of the MAS paradigm to Brain Network models. In such a general framework some recent applications taken from the direct experience of the author, and exploring the activation patterns characteristic of specific brain functional states, are described, and their impact on the Systems-Biology universe underlined.

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 2 67%
Computer Science 1 33%