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Titlebook: Branching Process Models of Cancer; Richard Durrett Book 2015 The Editor(s) (if applicable) and The Author(s), under exclusive license to

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樓主
發(fā)表于 2025-3-21 16:19:44 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Branching Process Models of Cancer
影響因子2023Richard Durrett
視頻videohttp://file.papertrans.cn/191/190358/190358.mp4
發(fā)行地址The first volume published in the new series Mathematical Biosciences Institute.Concise and easy to understand for graduate students familiar with Poisson processes and continuous time Markov chains.I
學科分類Mathematical Biosciences Institute Lecture Series
圖書封面Titlebook: Branching Process Models of Cancer;  Richard Durrett Book 2015 The Editor(s) (if applicable) and The Author(s), under exclusive license to
影響因子.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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978-3-319-16064-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Richard DurrettThe first volume published in the new series Mathematical Biosciences Institute.Concise and easy to understand for graduate students familiar with Poisson processes and continuous time Markov chains.I
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Mathematical Biosciences Institute Lecture Serieshttp://image.papertrans.cn/b/image/190358.jpg
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r with Poisson processes and continuous time Markov chains.I.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 muta
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Book 2015ia-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 proo
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