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Systems biology = modeling, analysis...

Lei, Jinzhi.

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Systems biology = modeling, analysis, and simulation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Systems biology/ by Jinzhi Lei.
Reminder of title:	modeling, analysis, and simulation /
Author:	Lei, Jinzhi.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xii, 308 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Systems biology - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-3-030-73033-8
ISBN:	9783030730338

Systems biology = modeling, analysis, and simulation /
Lei, Jinzhi.

Systems biologymodeling, analysis, and simulation /[electronic resource] :by Jinzhi Lei. - Cham :Springer International Publishing :2021. - xii, 308 p. :ill., digital ;24 cm. - Lecture notes on mathematical modelling in the life sciences,2193-4789. - Lecture notes on mathematical modelling in the life sciences..

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.

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.

ISBN: 9783030730338

Standard No.: 10.1007/978-3-030-73033-8doiSubjects--Topical Terms:

2047291
Systems biology
--Mathematical models.

LC Class. No.: QH323.5 / .L45 2021

Dewey Class. No.: 570.113

Systems biology = modeling, analysis, and simulation /
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100 1 $a Lei, Jinzhi. $3 3496149
245 1 0 $a Systems biology $h [electronic resource] : $b modeling, analysis, and simulation / $c by Jinzhi Lei.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xii, 308 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes on mathematical modelling in the life sciences, $x 2193-4789
505 0 $a 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.
520 $a 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.
650 0 $a Systems biology $x Mathematical models. $3 2047291
650 1 4 $a Analysis. $3 891106
650 2 4 $a Probability Theory and Stochastic Processes. $3 891080
650 2 4 $a Bioinformatics. $3 553671
650 2 4 $a Life Sciences, general. $3 890967
650 2 4 $a Cell Biology. $3 892383
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes on mathematical modelling in the life sciences. $3 2056095
856 4 0 $u https://doi.org/10.1007/978-3-030-73033-8
950 $a Mathematics and Statistics (SpringerNature-11649)