Articles liés à Branching Process Models of Cancer
Synopsis
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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À propos de l?auteur
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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Branching Process Models of Cancer
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Springer International Publishing, 2015
ISBN 10 : 3319160648
ISBN 13 : 9783319160641
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Kartoniert / Broschiert. Etat : 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 réf. du vendeur 31551056
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Branching Process Models of Cancer (Mathematical Biosciences Institute Lecture Series, 1.1)
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Branching Process Models of Cancer
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Branching Process Models of Cancer
ISBN 10 : 3319160648
ISBN 13 : 9783319160641
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Taschenbuch. Etat : 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 réf. du vendeur 9783319160641
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Branching Process Models of Cancer
Edité par
Springer International Publishing Jul 2015, 2015
ISBN 10 : 3319160648
ISBN 13 : 9783319160641
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : 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 réf. du vendeur 9783319160641
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Branching Process Models of Cancer
ISBN 10 : 3319160648
ISBN 13 : 9783319160641
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Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. 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 amathematics 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 72 pp. Englisch. N° de réf. du vendeur 9783319160641
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Branching Process Models of Cancer
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Branching Process Models of Cancer
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Branching Process Models of Cancer (Mathematical Biosciences Institute Lecture Series)
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Branching Process Models of Cancer
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Springer, 2015
ISBN 10 : 3319160648
ISBN 13 : 9783319160641
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