Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
A guide to numerical modelling in sy...
~
Roblitz, Susanna.
A guide to numerical modelling in systems biology
Record Type:
Language materials, printed : Monograph/item
Title/Author:
A guide to numerical modelling in systems biology/ by Peter Deuflhard, Susanna Roblitz.
Author:
Deuflhard, Peter.
other author:
Roblitz, Susanna.
Published:
Cham :Springer International Publishing : : 2015.,
Description:
x, 168 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Systems biology - Mathematical models. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-20059-0
ISBN:
9783319200590 (electronic bk.)
A guide to numerical modelling in systems biology
Deuflhard, Peter.
A guide to numerical modelling in systems biology
[electronic resource] /by Peter Deuflhard, Susanna Roblitz. - Cham :Springer International Publishing :2015. - x, 168 p. :ill. (some col.), digital ;24 cm. - Texts in computational science and engineering,121611-0994 ;. - Texts in computational science and engineering ;6..
Preface -- Outline -- ODE Models for Systems Biological Networks -- Numerical Simulation of ODE Models -- Parameter Identification in ODE Models -- Appendix -- Software -- Index.
This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the other hand, mathematical books are typically unreadable for computational biologists. The authors of the present book have worked hard to fill this gap. The result is not a book on systems biology, but on computational methods in systems biology. This book originated from courses taught by the authors at Freie Universitat Berlin. The guiding idea of the courses was to convey those mathematical insights that are indispensable for systems biology, teaching the necessary mathematical prerequisites by means of many illustrative examples and without any theorems. The three chapters cover the mathematical modelling of biochemical and physiological processes, numerical simulation of the dynamics of biological networks, and identification of model parameters by means of comparisons with real data. Throughout the text, the strengths and weaknesses of numerical algorithms with respect to various systems biological issues are discussed. Web addresses for downloading the corresponding software are also included.
ISBN: 9783319200590 (electronic bk.)
Standard No.: 10.1007/978-3-319-20059-0doiSubjects--Topical Terms:
1000176
Systems biology
--Mathematical models.
LC Class. No.: QH323.5
Dewey Class. No.: 570.15118
A guide to numerical modelling in systems biology
LDR
:02473nam a2200325 a 4500
001
836938
003
DE-He213
005
20160223151402.0
006
m d
007
cr nn 008maaau
008
160421s2015 gw s 0 eng d
020
$a
9783319200590 (electronic bk.)
020
$a
9783319200583 (paper)
024
7
$a
10.1007/978-3-319-20059-0
$2
doi
035
$a
978-3-319-20059-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QH323.5
072
7
$a
PBKJ
$2
bicssc
072
7
$a
MAT007000
$2
bisacsh
082
0 4
$a
570.15118
$2
23
090
$a
QH323.5
$b
.D485 2015
100
1
$a
Deuflhard, Peter.
$3
816068
245
1 2
$a
A guide to numerical modelling in systems biology
$h
[electronic resource] /
$c
by Peter Deuflhard, Susanna Roblitz.
260
$a
Cham :
$c
2015.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
x, 168 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Texts in computational science and engineering,
$x
1611-0994 ;
$v
12
505
0
$a
Preface -- Outline -- ODE Models for Systems Biological Networks -- Numerical Simulation of ODE Models -- Parameter Identification in ODE Models -- Appendix -- Software -- Index.
520
$a
This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the other hand, mathematical books are typically unreadable for computational biologists. The authors of the present book have worked hard to fill this gap. The result is not a book on systems biology, but on computational methods in systems biology. This book originated from courses taught by the authors at Freie Universitat Berlin. The guiding idea of the courses was to convey those mathematical insights that are indispensable for systems biology, teaching the necessary mathematical prerequisites by means of many illustrative examples and without any theorems. The three chapters cover the mathematical modelling of biochemical and physiological processes, numerical simulation of the dynamics of biological networks, and identification of model parameters by means of comparisons with real data. Throughout the text, the strengths and weaknesses of numerical algorithms with respect to various systems biological issues are discussed. Web addresses for downloading the corresponding software are also included.
650
0
$a
Systems biology
$x
Mathematical models.
$3
1000176
650
0
$a
Bioinformatics.
$3
583857
650
0
$a
Differential equations.
$3
527664
650
1 4
$a
Mathematics.
$3
527692
650
2 4
$a
Ordinary Differential Equations.
$3
670854
650
2 4
$a
Applications of Mathematics.
$3
669175
650
2 4
$a
Mathematical and Computational Biology.
$3
786706
650
2 4
$a
Simulation and Modeling.
$3
669249
650
2 4
$a
Numerical and Computational Physics.
$3
768904
700
1
$a
Roblitz, Susanna.
$3
1067407
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
Texts in computational science and engineering ;
$v
6.
$3
884221
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-20059-0
950
$a
Mathematics and Statistics (Springer-11649)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login