Spatiotemporal Modeling of Stem Cell Differentiation: Partial Differentiation Equation Analysis in R

Spatiotemporal Modeling of Stem Cell Differentiation: Partial Differentiation Equation Analysis in R is a book that discusses the mathematical modeling of spatiotemporal development of stem cells, expressed as systems of partial differential equations (PDEs). It covers the computer-based implementation of example models in R, which are available for download, allowing for the execution of models and the application of variations and extensions.

Format: Paperback / softback
Length: 134 pages
Publication date: 08 September 2021
Publisher: Elsevier Science & Technology

Spatiotemporal Modeling of Stem Cell Differentiation: Partial Differentiation Equation Analysis in R delves into the intricate processes by which stem cells transform into specialized cells during tissue formation and in diseased tissue regeneration. Given that stem cell differentiation unfolds both in space and time, this book presents mathematical modeling of spatiotemporal development through systems of partial differential equations (PDEs). Furthermore, it explores the key characteristics of six PDE models, which possess the ability to represent, for instance, the development of tissue within organs. Additionally, the book covers the computer-based implementation of example models through routines coded (programmed) in R. These routines are readily accessible through a download link, enabling users to execute example models without prior knowledge of numerical methods and computer coding. By utilizing these routines, users can apply them to variations and extensions of stem differentiation models, such as modifying PDE parameters (constants) and altering the form of model equations. This comprehensive approach empowers researchers to gain deeper insights into the complex dynamics of stem cell differentiation and its applications in various fields.

Weight: 450g
Dimension: 235 x 191 (mm)
ISBN-13: 9780323907972