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COMPUTATIONAL BIOLOGY OF CANCER
Lecture Notes and Mathematical Modeling
by Dominik Wodarz & Natalia Komarova (University of California, Irvine, USA)
Table of Contents (72k)
Preface (135k)
Chapter 1: Cancer and sornat ic evolution (395k)
The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of cells, genetic instability, and angiogenesis. The book also discusses the use of mathematical models for the analysis of therapeutic approaches such as chemotherapy, immunotherapy, and the use of oncolytic viruses.
Contents:
- Cancer and Somatic Evolution
- Mathematical Modeling of
Tumorigenesis
- Cancer Initiation: One-Hit and Two-Hit Stochastic Models
- Microsatellite and Chromosomal Istability in Sporadic and Familial Cancers
- Cellular Origins of Cancer
- Costs and Benefits of Chromosomal Instability
- DNA Damage and Genetic Instability
- Tissue Aging and the Development of Cancer
- Basic Models of Tumor Inhibition and Promotion
- Mechanisms of Tumor Neovascularization
- Cancer and Immune Responses
- Therapeutic Approaches: Viruses as Anti-Tumor Weapons
Readership: Researchers and academics in bioinformatics, biocomputing,
biomathematics, cell/molecular biology and cancer biology, as well as clinicians.
“This book adds aspects not covered by other books and, therefore, represents a valuable addition to the literature about mathematical models in cancer biology.”
| 264pp |
Pub. date: Jan 2005 |
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