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Spatiotemporal modeling of stem cell differentiation : partial differentiation equation analysis in R /

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 tim...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Schiesser, W. E. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Academic Press, 2021.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Schiesser, W. E.,  |e author. 
245 1 0 |a Spatiotemporal modeling of stem cell differentiation :  |b partial differentiation equation analysis in R /  |c William E. Schiesser. 
264 1 |a Amsterdam :  |b Academic Press,  |c 2021. 
300 |a 1 online resource 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
500 |a <p>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</p> 
588 |a Description based on CIP data; resource not viewed. 
520 |a 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. 
505 0 |a Front Cover -- Spatiotemporal Modeling of Stem Cell Differentiation -- Spatiotemporal Modeling of Stem Cell Differentiation: Partial Differentiation Equation Analysis in R -- Copyright -- Contents -- Preface -- REFERENCE -- 1 -- One PDE stem cell model -- 1. INTRODUCTION -- 1.1 One PDE model for stem cell density -- 1.2 Summary and conclusions -- REFERENCE -- 2 -- Implementation of the One PDE model -- 2. INTRODUCTION -- 2.1 Coding of one PDE model -- 2.1.1 Main program -- 2.1.2 ODE/MOL routine -- 2.1.3 Numerical, graphical output -- 2.2 Summary and conclusions -- REFERENCES -- 3 -- Six PDE model for stem cell differentiation -- 3. INTRODUCTION -- 3.1 Six PDE model -- 3.2 Summary and conclusions -- REFERENCE -- 4 -- Implementation of the Six PDE model -- 4. INTRODUCTION -- 4.1 Coding of six PDE model -- 4.1.1 Main program -- 4.1.2 ODE/MOL routine -- 4.1.3 Numerical, graphical output -- 4.2 Summary and conclusions -- REFERENCES -- 5 -- Variations of the six PDE model -- 5. INTRODUCTION -- 5.1 Six PDE model with probabilistic component -- 5.1.1 Main program -- 5.1.2 ODE/MOL routine -- 5.1.3 Numerical, graphical output -- 5.2 Six PDE model with time varying source of stem cells -- 5.2.1 Main program -- 5.2.2 ODE/MOL routine -- 5.2.3 Numerical, graphical output -- 5.3 Summary and conclusions -- REFERENCE -- Index -- A -- B -- C -- D -- E -- F -- I -- L -- M -- O -- P -- R -- S -- T -- Back Cover. 
650 0 |a Stem cells. 
650 0 |a Cell differentiation  |x Mathematical models. 
650 0 |a Differential equations, Partial. 
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776 0 8 |i Print version:  |z 9780323907972 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780323907972  |z Texto completo