Branching Process Models of Cancer PDF ePub eBook

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Branching Process Models of Cancer free pdf 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.

About Richard Durrett

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.

Details Book

Author : Richard Durrett
Publisher : Springer International Publishing AG
Data Published : 06 July 2015
ISBN : 3319160648
EAN : 9783319160641
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 63 pages
Age + : 15 years
Language : English
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  • Branching Process Models of Cancer free pdfBranching Process Models of Cancer

    Download Ebooks For Free Online ePub. 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 d