Branching Process Models of Cancer Book Reviews
Branching Process Models of Cancer by Richard Durrett Book Summary
This volume develops results on continuous time branching processes and applies them to study rate of tumor growth, extending classic work on the Luria-Delbruck distribution. As a consequence, the authors calculate the probability that mutations that confer resistance to treatment are present at detection and quantify the extent of tumor heterogeneity. As applications, the authors evaluate ovarian cancer screening strategies and give rigorous proofs for results of Heano and Michor concerning tumor metastasis. These notes should be accessible to students who are familiar with Poisson processes and continuous time. Richard Durrett is mathematics professor at Duke University, USA. He is the author of 8 books, over 200 journal articles, and has supervised more than 40 Ph.D.
students. Most of his current research concerns the applications of probability to biology: ecology, genetics, and most recently cancer.
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| Book Name | Branching Process Models of Cancer |
| Genre | Mathematics |
| Author | Richard Durrett |
| Published | 20 June 2015, Saturday |
| Language | English |
| E-Book Size | 1.46 MB |
Branching Process Models of Cancer (Richard Durrett) Book Reviews 2024
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Summary of Branching Process Models of Cancer by Richard Durrett
The Branching Process Models of Cancer book written by Richard Durrett was published on 20 June 2015, Saturday in the Mathematics category. A total of 150 readers of the book gave the book 0 points out of 5.
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