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Single-Cell-Based Models in Biology and Medicine [With DVD] 2007 Edition
Contributor(s): Anderson, Alexander (Editor), Rejniak, Katarzyna (Editor)
ISBN: 3764381019     ISBN-13: 9783764381011
Publisher: Birkhauser
OUR PRICE:   $161.49  
Product Type: Hardcover - Other Formats
Published: June 2007
Qty:
Annotation: Many different single-cell-based models have been developed and applied to biological and medical problems. Computational approaches used are Monte-Carlo simulations, energy minimisation techniques, volume conservation laws, solutions of the equations of motion for each individual cell or for each point on the cell membrane. They differ in the level of detail that defines the cell structure and subsequently in the number of individual cells that the model can incorporate.

This volume presents a collection of mathematical and computational single-cell-based models and their application. The main sections cover four general model groupings: hybrid cellular automata, cellular potts, lattice-free cells, and viscoelastic cells. Each section is introduced by a discussion of the applicability of the particular modelling approach and its advantages and disadvantages, which will make the book suitable for students starting research in mathematical biology as well as scientists modelling multicellular processes.

Additional Information
BISAC Categories:
- Science | Life Sciences - Biology
- Mathematics | Applied
Dewey: 571.601
LCCN: 2007923086
Series: Mathematics and Biosciences in Interaction
Physical Information: 0.97" H x 6.79" W x 9.39" (2.14 lbs) 360 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

Many different single-cell-based models have been developed and applied to biological and medical problems. Computational approaches used are Monte-Carlo simulations, energy minimisation techniques, volume conservation laws, solutions of the equations of motion for each individual cell or for each point on the cell membrane. They differ in the level of detail that defines the cell structure and subsequently in the number of individual cells that the model can incorporate.

This volume presents a collection of mathematical and computational single-cell-based models and their application. The main sections cover four general model groupings: hybrid cellular automata, cellular potts, lattice-free cells, and viscoelastic cells. Each section is introduced by a discussion of the applicability of the particular modelling approach and its advantages and disadvantages, which will make the book suitable for students starting research in mathematical biology as well as scientists modelling multicellular processes.