Name: Spatiotemporal Modeling of Cancer Immunotherapy: Partial Differential Equation Analysis in r (en Inglés)
Price: 119510.00 CLP
Availability: InStock
Author: William E. Schiesser
ISBN: 9783030176358

portada Spatiotemporal Modeling of Cancer Immunotherapy: Partial Differential Equation Analysis in r (en Inglés)

Spatiotemporal Modeling of Cancer Immunotherapy: Partial Differential Equation Analysis in r (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

William E. Schiesser

Año

2019

Idioma

Inglés

N° páginas

112

Encuadernación

Tapa Dura

ISBN13

9783030176358

N° edición

Categorías

Matemáticas aplicadas

Spatiotemporal Modeling of Cancer Immunotherapy: Partial Differential Equation Analysis in r (en Inglés)

William E. Schiesser (Autor) · Springer · Tapa Dura

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Reseña del libro "Spatiotemporal Modeling of Cancer Immunotherapy: Partial Differential Equation Analysis in r (en Inglés)"

The focus of this book is a detailed discussion of a dual cancer vaccine (CV)-immune checkpoint inhibitor (ICI) mathematical model formulated as a system of partial differential equations (PDEs) defining the spatiotemporal distribution of cells and biochemicals during tumor growth.A computer implementation of the model is discussed in detail for the quantitative evaluation of CV-ICI therapy. The coding (programming) consists of a series of routines in R, a quality, open-source scientific computing system that is readily available from the internet. The routines are based on the method of lines (MOL), a general PDE algorithm that can be executed on modest computers within the basic R system. The reader can download and use the routines to confirm the model solutions reported in the book, then experiment with the model by varying the parameters and modifying/extending the equations, and even studying alternative models with the PDE methodology demonstrated by the CV-ICI model.Spatiotemporal Modeling of Cancer Immunotherapy: Partial Differential Equation Analysis in R facilitates the use of the model, and more generally, computer- based analysis of cancer immunotherapy mathematical models, as a step toward the development and quantitative evaluation of the immunotherapy approach to the treatment of cancer.