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Spatiotemporal Modeling of Stem Cell Differentiation
Partial Differentiation Equation Analysis in R
Presents spatiotemporal models of stem cell differentiation based on partial differential equations
William E. Schiesser (Author)
9780323907972, Elsevier Science
Paperback / softback, published 8 September 2021
134 pages
23.5 x 19 x 1 cm, 0.45 kg
Spatiotemporal Modeling of Stem Cell Differentiation: Partial Differentiation Equation Analysis in R covers topics surrounding how stem cells evolve into specialized cells during tissue formation and in diseased tissue regeneration. As the process of stem cell differentiation occurs in space and time, the mathematical modeling of spatiotemporal development is expressed in this book as systems of partial differential equations (PDEs). In addition, the book explores important feature of six PDE model which can represent, for example, the development of tissue in organs. In addition, the book covers the computer-based implementation of example models through routines coded (programmed) in R. The routines described in the book are available from a download link so that example models can be executed without having to first study numerical methods and computer coding. The routines can then be applied to variations and extensions of the stem differentiation models, such as changes in the PDE parameters (constants) and the form of the model equations.
1. One PDE Stem Cell Model 2. Implementation of the One PDE Model 3. Six PDE Model for Stem Cell Differentiation 4. Implementation of the Six PDE Model 5. Detailed ODE/PDE Model Analysis
Subject Areas: Biomedical engineering [MQW]
