Spatiotemporal Modeling of Cancer Immunotherapy : Partial Differential Equation Analysis in R Hardback
by William E. Schiesser
Hardback
Description
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. To download the R routines, please visit: http://www.lehigh.edu/~wes1/ci_download
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:112 pages, 70 Illustrations, black and white; VIII, 112 p. 70 illus.
- Publisher:Springer Nature Switzerland AG
- Publication Date:17/06/2019
- Category:
- ISBN:9783030176358
Other Formats
- Paperback / softback from £80.59
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:112 pages, 70 Illustrations, black and white; VIII, 112 p. 70 illus.
- Publisher:Springer Nature Switzerland AG
- Publication Date:17/06/2019
- Category:
- ISBN:9783030176358
