東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Cellular automaton modeling of biolo...

Deutsch, Andreas.

FindBook

Google Book

Amazon

博客來

Cellular automaton modeling of biological pattern formation = characterization, examples, and analysis /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cellular automaton modeling of biological pattern formation/ by Andreas Deutsch, Sabine Dormann.
其他題名:	characterization, examples, and analysis /
作者:	Deutsch, Andreas.
其他作者:	Dormann, Sabine.
出版者:	Boston, MA :Birkhauser Boston : : 2017.,
面頁冊數:	xxii, 464 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction and Outline -- On the Origin of Patterns -- Modeling Biological Pattern Formation -- Cellular Automata -- Random Movement -- Cell Migration -- Adhesive Cell Interaction -- Alignment and Cellular Swarming -- Growth Processes -- Pigment Cell Pattern Formation -- Tissue Development -- Tumor Growth and Invasion -- Turing Patterns and Excitable Media -- Discussion and Outlook -- Appendix A: Cell Migration -- Appendix B: Growth Processes -- Appendix C: Tumor Growth and Invasion -- Appendix D: Turing Patterns -- Appendix E: Excitable Media -- Appendix F: Isotropy, Lattices, and Tensors -- References -- Index.
Contained By:	Springer eBooks
標題:	Pattern formation (Biology) -
電子資源:	http://dx.doi.org/10.1007/978-1-4899-7980-3
ISBN:	9781489979803

Cellular automaton modeling of biological pattern formation = characterization, examples, and analysis /
Deutsch, Andreas.

Cellular automaton modeling of biological pattern formationcharacterization, examples, and analysis /[electronic resource] :by Andreas Deutsch, Sabine Dormann. - 2nd ed. - Boston, MA :Birkhauser Boston :2017. - xxii, 464 p. :ill. (some col.), digital ;24 cm. - Modeling and simulation in science, engineering and technology,2164-3679. - Modeling and simulation in science, engineering and technology..

Introduction and Outline -- On the Origin of Patterns -- Modeling Biological Pattern Formation -- Cellular Automata -- Random Movement -- Cell Migration -- Adhesive Cell Interaction -- Alignment and Cellular Swarming -- Growth Processes -- Pigment Cell Pattern Formation -- Tissue Development -- Tumor Growth and Invasion -- Turing Patterns and Excitable Media -- Discussion and Outlook -- Appendix A: Cell Migration -- Appendix B: Growth Processes -- Appendix C: Tumor Growth and Invasion -- Appendix D: Turing Patterns -- Appendix E: Excitable Media -- Appendix F: Isotropy, Lattices, and Tensors -- References -- Index.

This text explores the use of cellular automata in modeling pattern formation in biological systems. It describes several mathematical modeling approaches utilizing cellular automata that can be used to study the dynamics of interacting cell systems both in simulation and in practice. New in this edition are chapters covering cell migration, tissue development, and cancer dynamics, as well as updated references and new research topic suggestions that reflect the rapid development of the field. The book begins with an introduction to pattern-forming principles in biology and the various mathematical modeling techniques that can be used to analyze them. Cellular automaton models are then discussed in detail for different types of cellular processes and interactions, including random movement, cell migration, adhesive cell interaction, alignment and cellular swarming, growth processes, pigment cell pattern formation, tissue development, tumor growth and invasion, and Turing-type patterns and excitable media. In the final chapter, the authors critically discuss possibilities and limitations of the cellular automaton approach in modeling various biological applications, along with future research directions. Suggestions for research projects are provided throughout the book to encourage additional engagement with the material, and an accompanying simulator is available for readers to perform their own simulations on several of the models covered in the text. With its accessible presentation and interdisciplinary approach, Cellular Automaton Modeling of Biological Pattern Formation is suitable for graduate and advanced undergraduate students in mathematical biology, biological modeling, and biological computing. It will also be a valuable resource for researchers and practitioners in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science. PRAISE FOR THE FIRST EDITION "An ideal guide for someone with a mathematical or physical background to start exploring biological modelling. Importantly, it will also serve as an excellent guide for experienced modellers to innovate and improve their methodologies for analysing simulation results."-Mathematical Reviews.

ISBN: 9781489979803

Standard No.: 10.1007/978-1-4899-7980-3doiSubjects--Topical Terms:

795945
Pattern formation (Biology)

LC Class. No.: QH491

Dewey Class. No.: 571.8

Cellular automaton modeling of biological pattern formation = characterization, examples, and analysis /
LDR:03986nmm a2200337 a 4500 001 2113975
003 DE-He213
005 20180310142348.0
006 m d
007 cr nn 008maaau
008 180816s2017 mau s 0 eng d
020 $a 9781489979803 $q (electronic bk.)
020 $a 9781489979780 $q (paper)
024 7 $a 10.1007/978-1-4899-7980-3 $2 doi
035 $a 978-1-4899-7980-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QH491
072 7 $a PBW $2 bicssc
072 7 $a MAT003000 $2 bisacsh
082 0 4 $a 571.8 $2 23
090 $a QH491 $b .D486 2017
100 1 $a Deutsch, Andreas. $3 891097
245 1 0 $a Cellular automaton modeling of biological pattern formation $h [electronic resource] : $b characterization, examples, and analysis / $c by Andreas Deutsch, Sabine Dormann.
250 $a 2nd ed.
260 $a Boston, MA : $b Birkhauser Boston : $b Imprint: Birkhauser, $c 2017.
300 $a xxii, 464 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Modeling and simulation in science, engineering and technology, $x 2164-3679
505 0 $a Introduction and Outline -- On the Origin of Patterns -- Modeling Biological Pattern Formation -- Cellular Automata -- Random Movement -- Cell Migration -- Adhesive Cell Interaction -- Alignment and Cellular Swarming -- Growth Processes -- Pigment Cell Pattern Formation -- Tissue Development -- Tumor Growth and Invasion -- Turing Patterns and Excitable Media -- Discussion and Outlook -- Appendix A: Cell Migration -- Appendix B: Growth Processes -- Appendix C: Tumor Growth and Invasion -- Appendix D: Turing Patterns -- Appendix E: Excitable Media -- Appendix F: Isotropy, Lattices, and Tensors -- References -- Index.
520 $a This text explores the use of cellular automata in modeling pattern formation in biological systems. It describes several mathematical modeling approaches utilizing cellular automata that can be used to study the dynamics of interacting cell systems both in simulation and in practice. New in this edition are chapters covering cell migration, tissue development, and cancer dynamics, as well as updated references and new research topic suggestions that reflect the rapid development of the field. The book begins with an introduction to pattern-forming principles in biology and the various mathematical modeling techniques that can be used to analyze them. Cellular automaton models are then discussed in detail for different types of cellular processes and interactions, including random movement, cell migration, adhesive cell interaction, alignment and cellular swarming, growth processes, pigment cell pattern formation, tissue development, tumor growth and invasion, and Turing-type patterns and excitable media. In the final chapter, the authors critically discuss possibilities and limitations of the cellular automaton approach in modeling various biological applications, along with future research directions. Suggestions for research projects are provided throughout the book to encourage additional engagement with the material, and an accompanying simulator is available for readers to perform their own simulations on several of the models covered in the text. With its accessible presentation and interdisciplinary approach, Cellular Automaton Modeling of Biological Pattern Formation is suitable for graduate and advanced undergraduate students in mathematical biology, biological modeling, and biological computing. It will also be a valuable resource for researchers and practitioners in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science. PRAISE FOR THE FIRST EDITION "An ideal guide for someone with a mathematical or physical background to start exploring biological modelling. Importantly, it will also serve as an excellent guide for experienced modellers to innovate and improve their methodologies for analysing simulation results."-Mathematical Reviews.
650 0 $a Pattern formation (Biology) $3 795945
650 0 $a Cellular automata $x Mathematical models. $3 766126
650 1 4 $a Mathematics. $3 515831
650 2 4 $a Physiological, Cellular and Medical Topics. $3 891099
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Simulation and Modeling. $3 890873
650 2 4 $a Applications of Mathematics. $3 890893
650 2 4 $a Computer Appl. in Life Sciences. $3 892390
700 1 $a Dormann, Sabine. $3 891096
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Modeling and simulation in science, engineering and technology. $3 1619923
856 4 0 $u http://dx.doi.org/10.1007/978-1-4899-7980-3
950 $a Mathematics and Statistics (Springer-11649)