Non-Fiction Books:

Branching Process Models of Cancer

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$103.00
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Description

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 author calculate the probability that mutations that confer resistance to treatment are present at detection and quantify the extent of tumor heterogeneity. As applications, the author 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 Markov chains. Richard Durrett is a 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.

Author Biography:

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.
Release date NZ
July 6th, 2015
Audience
  • Professional & Vocational
Illustrations
2 Illustrations, color; 4 Illustrations, black and white; VII, 63 p. 6 illus., 2 illus. in color.
Pages
63
Dimensions
155x235x4
ISBN-13
9783319160641
Product ID
23103292

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