Branching Process Models of Cancer: 1.1 (Mathematical Biosciences Institute Lecture Series) - Tapa blanda

Durrett, Richard

9783319160641: Branching Process Models of Cancer: 1.1 (Mathematical Biosciences Institute Lecture Series)

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ISBN 10: 3319160648 ISBN 13: 9783319160641

Editorial: Springer, 2015

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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.

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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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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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Editorial: Springer
A�o de publicaci�n: 2015
Idioma: Ingl�s
ISBN 10: 3319160648
ISBN 13: 9783319160641
Encuadernaci�n: Tapa blanda
N�mero de p�ginas: 72
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Branching Process Models of Cancer (Mathematical Biosciences Institute Lecture Series, 1.1)

Durrett, Richard

Publicado por Springer, 2015

ISBN 10: 3319160648 ISBN 13: 9783319160641

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Branching Process Models of Cancer

Richard Durrett

Publicado por Springer International Publishing Jul 2015, 2015

ISBN 10: 3319160648 ISBN 13: 9783319160641

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 72 pp. Englisch. N� de ref. del art�culo: 9783319160641

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Branching Process Models of Cancer

Richard Durrett

Publicado por Springer International Publishing, Springer International Publishing, 2015

ISBN 10: 3319160648 ISBN 13: 9783319160641

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de ref. del art�culo: 9783319160641

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Branching Process Models of Cancer

Durrett, Richard

Publicado por Springer 2015-07, 2015

ISBN 10: 3319160648 ISBN 13: 9783319160641

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PF. Condici�n: New. N� de ref. del art�culo: 6666-IUK-9783319160641

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Branching Process Models of Cancer

Richard Durrett

Publicado por Springer International Publishing, 2015

ISBN 10: 3319160648 ISBN 13: 9783319160641

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Kartoniert / Broschiert. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first volume published in the new series Mathematical Biosciences InstituteConcise and easy to understand for graduate students familiar with Poisson processes and continuous time Markov chainsIncludes examples and theorems throughout. N� de ref. del art�culo: 31551056

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