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Cellular Potts Models Multiscale Extensions And Biological Applications Marco Scianna Luigi Preziosi

SKU: BELL-4345506

$ 31.00 ~~$ 45.00~~ (-31%)

4.3

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Cellular Potts Models Multiscale Extensions And Biological Applications Marco Scianna Luigi Preziosi instant download after payment.

Publisher: CRC Press / Taylor & Francis

File Extension: PDF

File size: 4.52 MB

Pages: 279

Author: Marco Scianna; Luigi Preziosi

ISBN: 9781466514782, 1466514787

Language: English

Year: 2013

Product desciption

Cellular Potts Models Multiscale Extensions And Biological Applications Marco Scianna Luigi Preziosi by Marco Scianna; Luigi Preziosi 9781466514782, 1466514787 instant download after payment.

"All biological phenomena emerge from an intricate interconnection of multiple processes occurring at different levels of organization: namely, at the molecular, the cellular and the tissue level, see Figure 1. These natural levels can approximately be connected to a microscopic, mesoscopic, and macroscopic scale, respectively. The microscopic scale refers to those processes that occur at the subcellular level, such as DNA synthesis and duplication, gene dynamics, activation of receptors, transduction of chemical signals, diffusion of ions and transport of proteins. The mesoscopic scale, on the other hand, can refer to cell-level phenomena, such as adhesive interactions between cells or between cells and ECM components, cell duplication and death and cell motion. The macroscopic scale finally corresponds to those processes that are typical of multicellular behavior, such as population dynamics, tissue mechanics and organ growth and development. It is evident that research in biology and medicine needs to work in a multiscale fashion. This brings many challenging questions and a complexity that can not be addressed in the classical way, but can take advantage of the increasing collaboration between natural and exact sciences (for more detailed comments the reader is referred to [90, 262]). On the other hand, the recent literature provides evidence of the increasing attention of the mathematical, statistical, computational and physical communities toward biological and biomedical modeling, consequence of the successful results obtained by a multidisciplinary approach to the Life Sciences problems"--