Systems biology : modeling, analysis, and simulation / Jinzhi Lei.
2021
QH323.5
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Details
Title
Systems biology : modeling, analysis, and simulation / Jinzhi Lei.
Author
Lei, Jinzhi, author.
ISBN
9783030730338 (electronic bk.)
3030730336 (electronic bk.)
3030730328 (print)
9783030730321 (print)
3030730336 (electronic bk.)
3030730328 (print)
9783030730321 (print)
Publication Details
Cham : Springer, 2021.
Language
English
Description
1 online resource (xii, 308 pages)
Item Number
10.1007/978-3-030-73033-8 doi
Call Number
QH323.5
Dewey Decimal Classification
570.1/13
Summary
This book discusses the mathematical simulation of biological systems, with a focus on the modeling of gene expression, gene regulatory networks and stem cell regeneration. The diffusion of morphogens is addressed by introducing various reaction-diffusion equations based on different hypotheses concerning the process of morphogen gradient formation. The robustness of steady-state gradients is also covered through boundary value problems. The introduction gives an overview of the relevant biological concepts (cells, DNA, organism development) and provides the requisite mathematical preliminaries on continuous dynamics and stochastic modeling. A basic understanding of calculus is assumed. The techniques described in this book encompass a wide range of mechanisms, from molecular behavior to population dynamics, and the inclusion of recent developments in the literature together with first-hand results make it an ideal reference for both new students and experienced researchers in the field of systems biology and applied mathematics.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 24, 2021).
Series
Lecture notes on mathematical modelling in the life sciences, 2193-4789
Available in Other Form
Print version: 9783030730321
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Table of Contents
1. Biological Background-information, Energy, and Matter
2. Mathematical Preliminary continuous Dynamics
3. Mathematical Preliminary-stochastic Modeling
4. Stochastic Modeling of Gene Expression
5. Mathematical Models for Gene Regulatory Network Dynamics
6. Dynamical Modeling of Stem Cell Regeneration
7. Mathematical Models of Morphogen Gradients and Growth Control.
2. Mathematical Preliminary continuous Dynamics
3. Mathematical Preliminary-stochastic Modeling
4. Stochastic Modeling of Gene Expression
5. Mathematical Models for Gene Regulatory Network Dynamics
6. Dynamical Modeling of Stem Cell Regeneration
7. Mathematical Models of Morphogen Gradients and Growth Control.