0
Your cart

Your cart is empty

Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology

Buy Now

Spatiotemporal Modeling of Cancer Immunotherapy - Partial Differential Equation Analysis in R (Paperback, 1st ed. 2019) Loot Price: R2,957
Discovery Miles 29 570
Spatiotemporal Modeling of Cancer Immunotherapy - Partial Differential Equation Analysis in R (Paperback, 1st ed. 2019):...

Spatiotemporal Modeling of Cancer Immunotherapy - Partial Differential Equation Analysis in R (Paperback, 1st ed. 2019)

William E. Schiesser

 (sign in to rate)
Loot Price R2,957 Discovery Miles 29 570 | Repayment Terms: R277 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

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

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: August 2020
First published: 2019
Authors: William E. Schiesser
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 112
Edition: 1st ed. 2019
ISBN-13: 978-3-03-017636-5
Categories: Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > General
LSN: 3-03-017636-3
Barcode: 9783030176365

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners