Coverart for item
The Resource Cellular Automaton Modeling of Biological Pattern Formation : Characterization, Examples, and Analysis, by Andreas Deutsch, Sabine Dormann, (electronic resource)

Cellular Automaton Modeling of Biological Pattern Formation : Characterization, Examples, and Analysis, by Andreas Deutsch, Sabine Dormann, (electronic resource)

Label
Cellular Automaton Modeling of Biological Pattern Formation : Characterization, Examples, and Analysis
Title
Cellular Automaton Modeling of Biological Pattern Formation
Title remainder
Characterization, Examples, and Analysis
Statement of responsibility
by Andreas Deutsch, Sabine Dormann
Creator
Contributor
Author
Author
Subject
Language
eng
Summary
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.--
Member of
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Deutsch, Andreas
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
jXjBgFIDqSM
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Dormann, Sabine
Series statement
  • Modeling and Simulation in Science, Engineering and Technology,
  • Springer eBooks
  • Springer eBooks.
http://library.link/vocab/subjectName
  • Physiology
  • Computer simulation
  • Mathematics
  • Biology
Label
Cellular Automaton Modeling of Biological Pattern Formation : Characterization, Examples, and Analysis, by Andreas Deutsch, Sabine Dormann, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-1-4899-7980-3
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
978-1-4899-7980-3
Dimensions
unknown
Edition
2nd ed. 2017.
Extent
1 online resource (XXII, 464 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781489979803
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
174 illustrations, 80 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1028980879
Label
Cellular Automaton Modeling of Biological Pattern Formation : Characterization, Examples, and Analysis, by Andreas Deutsch, Sabine Dormann, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-1-4899-7980-3
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
978-1-4899-7980-3
Dimensions
unknown
Edition
2nd ed. 2017.
Extent
1 online resource (XXII, 464 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781489979803
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
174 illustrations, 80 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1028980879

Library Locations

    • Badia FiesolanaBorrow it
      Via dei Roccettini 9, San Domenico di Fiesole, 50014, IT
      43.803074 11.283055
Processing Feedback ...