Spatiotemporal modeling of cancer immunotherapy : partial differential equation analysis in R / William E. Schiesser.

Unlimited

Authorized users

Can lend chapters, not whole ebooks

Spatiotemporal modeling of cancer immunotherapy : partial differential equation analysis in R / William E. Schiesser.

9783030190804 (electronic book)
3030190803 (electronic book)
9783030176358

Cham, Switzerland : Springer, [2019]

©2019

English

1 online resource : illustrations

10.1007/978-3-030-19

RC271.I45

616.99/406

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.

Includes bibliographical references and index.

Access limited to authorized users.

Online resource; title from PDF title page (viewed June 4, 2019).

Online Resources > Ebooks
All Resources