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001 978-3-7643-8123-3
003 DE-He213
005 20181204132646.0
007 cr nn 008mamaa
008 100301s2007 sz | s |||| 0|eng d
020 _a9783764381233
_9978-3-7643-8123-3
024 7 _a10.1007/978-3-7643-8123-3
_2doi
040 _aISI Library, Kolkata
050 4 _aQH323.5
050 4 _aQH324.2-324.25
072 7 _aPDE
_2bicssc
072 7 _aMAT003000
_2bisacsh
072 7 _aPDE
_2thema
082 0 4 _a570.285
_223
245 1 0 _aSingle-Cell-Based Models in Biology and Medicine
_h[electronic resource] /
_cedited by Alexander R. A. Anderson, Mark A. J. Chaplain, Katarzyna A. Rejniak.
264 1 _aBasel :
_bBirkhäuser Basel,
_c2007.
300 _aIX, 349 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMathematics and Biosciences in Interaction
505 0 _aHybrid 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 _aTo 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 _aPhysiology
_xMathematics.
650 0 _aComputer simulation.
650 1 4 _aMathematical and Computational Biology.
_0http://scigraph.springernature.com/things/product-market-codes/M31000
650 2 4 _aPhysiological, Cellular and Medical Topics.
_0http://scigraph.springernature.com/things/product-market-codes/M31020
650 2 4 _aSimulation and Modeling.
_0http://scigraph.springernature.com/things/product-market-codes/I21025
700 1 _aAnderson, Alexander R. A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aChaplain, Mark A. J.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRejniak, Katarzyna A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783764391836
776 0 8 _iPrinted edition:
_z9783764381011
830 0 _aMathematics and Biosciences in Interaction
856 4 0 _uhttps://doi.org/10.1007/978-3-7643-8123-3
912 _aZDB-2-SMA
942 _cEB
950 _aMathematics and Statistics (Springer-11649)
999 _c425618
_d425618