| 书目名称 | Stochastic Chemical Reaction Systems in Biology | | 编辑 | Hong Qian,Hao Ge | | 视频video | http://file.papertrans.cn/878/877878/877878.mp4 | | 概述 | Provides a systematic mathematical treatment of biological population dynamics in terms of probability theory.Introduces a new theoretical framework for nonequilibrium statistical physics with applica | | 丛书名称 | Lecture Notes on Mathematical Modelling in the Life Sciences | | 图书封面 |  | | 描述 | .This book provides an introduction to the analysis of stochastic dynamic models in biology and medicine. The main aim is to offer a coherent set of probabilistic techniques and mathematical tools which can be used for the simulation and analysis of various biological phenomena. These tools are illustrated on a number of examples. For each example, the biological background is described, and mathematical models are developed following a unified set of principles. These models are then analyzed and, finally, the biological implications of the mathematical results are interpreted. The biological topics covered include gene expression, biochemistry, cellular regulation, and cancer biology. The book will be accessible to graduate students who have a strong background in differential equations, the theory of nonlinear dynamical systems, Markovian stochastic processes, and both discrete and continuous state spaces, and who are familiar with the basic concepts of probability theory.. | | 出版日期 | Book 2021 | | 关键词 | stochastic reaction systems; chemical kinetics; biochemical kinetics; cell biology; single-molecule enzy | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-86252-7 | | isbn_softcover | 978-3-030-86251-0 | | isbn_ebook | 978-3-030-86252-7Series ISSN 2193-4789 Series E-ISSN 2193-4797 | | issn_series | 2193-4789 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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