國立高雄大學圖資館 |

Language: English

Back

A guide to numerical modelling in sy...

Deuflhard, P.

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 /Peter Deuflhard, Susanna Röblitz.
Author:	Deuflhard, P.
other author:	Röblitz, Susanna.
Published:	Cham :Springer,c2015.
Description:	x, 168 p. :ill. (some col.) ;24 cm.
Subject:	Systems biologyMathematical models.
ISBN:	9783319200583 (hbk.) :

A guide to numerical modelling in systems biology /
Deuflhard, P.

A guide to numerical modelling in systems biology /Peter Deuflhard, Susanna Röblitz. - Cham :Springer,c2015. - x, 168 p. :ill. (some col.) ;24 cm. - Texts in computational science and engineering,121611-0994 ;. - Texts in computational science and engineering ;6..

Includes bibliographical references and index.

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 Universität 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: 9783319200583 (hbk.) :NT$1229Subjects--Topical Terms:

609539
Systems biology
--Mathematical models.

LC Class. No.: QH323.5

Dewey Class. No.: 570.1/5118

A guide to numerical modelling in systems biology /
LDR:02114nam a2200205 a 4500 001 457960
008 150922s2015 sz a b 001 0 eng d
020 $a 9783319200583 (hbk.) : $c NT$1229
020 $a 3319200585 (hbk.)
020 $z 9783319200590 (ebk.)
035 $a 9783319200583
040 $a UK $b eng $c UK
050 4 $a QH323.5
082 0 4 $a 570.1/5118 $2 23
100 1 $a Deuflhard, P. $q (Peter) $3 440247
245 1 2 $a A guide to numerical modelling in systems biology / $c Peter Deuflhard, Susanna Röblitz.
260 $a Cham : $b Springer, $c c2015.
300 $a x, 168 p. : $b ill. (some col.) ; $c 24 cm.
490 1 $a Texts in computational science and engineering, $x 1611-0994 ; $v 12
504 $a Includes bibliographical references and index.
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 Universität 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 609539
650 0 $a Bioinformatics. $3 194415
650 0 $a Differential equations. $3 183925
700 1 $a Röblitz, Susanna. $3 709138
710 2 $a Ohio Library and Information Network. $3 695983
830 0 $a Texts in computational science and engineering ; $v 6. $3 569162