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Single-Cell-Based Models in Biology and Medicine
To adequately describe complex spatio-temporal processes that occur in multi-cellular organisms, a class of models is required that simultaneously takes into account differences between individual cells as well as their ability to communicate and interact with one another and their environment. Sing...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Basel :
Birkhäuser Basel : Imprint: Birkhäuser,
2007.
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| Edición: | 1st ed. 2007. |
| Colección: | Mathematics and Biosciences in Interaction
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 020 | |a 9783764381233 |9 978-3-7643-8123-3 | ||
| 024 | 7 | |a 10.1007/978-3-7643-8123-3 |2 doi | |
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| 245 | 1 | 0 | |a Single-Cell-Based Models in Biology and Medicine |h [electronic resource] / |c edited by Alexander Anderson, Katarzyna Rejniak. |
| 250 | |a 1st ed. 2007. | ||
| 264 | 1 | |a Basel : |b Birkhäuser Basel : |b Imprint: Birkhäuser, |c 2007. | |
| 300 | |a IX, 349 p. |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 Mathematics and Biosciences in Interaction | |
| 505 | 0 | |a Hybrid Multiscale Models -- A Hybrid Multiscale Model of Solid Tumour Growth and Invasion: Evolution and the Microenvironment -- Lattice-gas Cellular Automaton Modeling of Developing Cell Systems -- Two-dimensional Multiscale Model of Cell Motion in a Chemotactic Field -- The Cellular Potts Model and Its Variants -- Magnetization to Morphogenesis: A Brief History of the Glazier-Graner-Hogeweg Model -- The Cellular Potts Model and Biophysical Properties of Cells, Tissues and Morphogenesis -- The Cellular Potts Model in Biomedicine -- The Glazier-Graner-Hogeweg Model: Extensions, Future Directions, and Opportunities for Further Study -- Off-lattice Cell Models -- Center-based Single-cell Models: An Approach to Multi-cellular Organization Based on a Conceptual Analogy to Colloidal Particles -- Models with Lattice-free Center-based Cells Interacting with Continuum Environment Variables -- Modeling Multicellular Structures Using the Subcellular Element Model -- Viscoelastic Cell Models -- Cell-based Models of Blood Clotting -- A 3-D Deformable Ellipsoidal Cell Model with Cell Adhesion and Signaling -- Modelling the Development of Complex Tissues Using Individual Viscoelastic Cells. | |
| 520 | |a To adequately describe complex spatio-temporal processes that occur in multi-cellular organisms, a class of models is required that simultaneously takes into account differences between individual cells as well as their ability to communicate and interact with one another and their environment. Single-cell-based models form a framework that allows for the explicit incorporation of different properties of individual cells, but at the same time enables all cells to act together as one collective body. This leads ultimately to more biologically realistic models of heterogeneous tissues and multi-cellular organisms and allows for a better understanding of the principles underlying the complex biological processes occurring during the formation, growth and maintenance of multi-cellular bodies. The aim of this book is to assemble a collection of different mathematical and computational models and techniques that focus on individual cells, cell processes and cell behaviour, that are also suitable to address problems on the multi-cellular or tissue scale. We would like to focus the level of the book equally to students starting their research in the field of mathematical biology and to scientists already modelling multi-cellular processes. Therefore, our intention is to include in this book a detailed description of each model and an extensive review of suitable biological and medical applications. | ||
| 650 | 0 | |a Biomathematics. | |
| 650 | 0 | |a Computer simulation. | |
| 650 | 1 | 4 | |a Mathematical and Computational Biology. |
| 650 | 2 | 4 | |a Computer Modelling. |
| 700 | 1 | |a Anderson, Alexander. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Rejniak, Katarzyna. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783764391836 |
| 776 | 0 | 8 | |i Printed edition: |z 9783764381011 |
| 830 | 0 | |a Mathematics and Biosciences in Interaction | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-7643-8123-3 |z Texto Completo |
| 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) | ||