Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Systems Biology = Modeling, Analysis...
~
SpringerLink (Online service)
Systems Biology = Modeling, Analysis, and Simulation /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Systems Biology/ by Jinzhi Lei.
Reminder of title:
Modeling, Analysis, and Simulation /
Author:
Lei, Jinzhi.
Description:
XII, 308 p. 95 illus., 69 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Cell Biology. -
Online resource:
https://doi.org/10.1007/978-3-030-73033-8
ISBN:
9783030730338
Systems Biology = Modeling, Analysis, and Simulation /
Lei, Jinzhi.
Systems Biology
Modeling, Analysis, and Simulation /[electronic resource] :by Jinzhi Lei. - 1st ed. 2021. - XII, 308 p. 95 illus., 69 illus. in color.online resource. - Lecture Notes on Mathematical Modelling in the Life Sciences,2193-4797. - 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:
593889
Cell Biology.
LC Class. No.: QA299.6-433
Dewey Class. No.: 515
Systems Biology = Modeling, Analysis, and Simulation /
LDR
:02835nam a22003975i 4500
001
1054172
003
DE-He213
005
20210910135117.0
007
cr nn 008mamaa
008
220103s2021 sz | s |||| 0|eng d
020
$a
9783030730338
$9
978-3-030-73033-8
024
7
$a
10.1007/978-3-030-73033-8
$2
doi
035
$a
978-3-030-73033-8
050
4
$a
QA299.6-433
072
7
$a
PBK
$2
bicssc
072
7
$a
MAT034000
$2
bisacsh
072
7
$a
PBK
$2
thema
082
0 4
$a
515
$2
23
100
1
$a
Lei, Jinzhi.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1359185
245
1 0
$a
Systems Biology
$h
[electronic resource] :
$b
Modeling, Analysis, and Simulation /
$c
by Jinzhi Lei.
250
$a
1st ed. 2021.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
XII, 308 p. 95 illus., 69 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Lecture Notes on Mathematical Modelling in the Life Sciences,
$x
2193-4797
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
2 4
$a
Cell Biology.
$3
593889
650
2 4
$a
Life Sciences, general.
$3
668532
650
2 4
$a
Probability Theory and Stochastic Processes.
$3
593945
650
1 4
$a
Analysis.
$3
669490
650
0
$a
Cell biology.
$3
1253486
650
0
$a
Life sciences.
$3
815602
650
0
$a
Bioinformatics.
$3
583857
650
0
$a
Probabilities.
$3
527847
650
0
$a
Analysis (Mathematics).
$3
1253570
650
0
$a
Mathematical analysis.
$3
527926
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030730321
776
0 8
$i
Printed edition:
$z
9783030730345
830
0
$a
Lecture Notes on Mathematical Modelling in the Life Sciences,
$x
2193-4789
$3
1261085
856
4 0
$u
https://doi.org/10.1007/978-3-030-73033-8
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login