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Hong Qian,Hao Ge

Stochastic Chemical Reaction Systems in Biology

Stochastic Chemical Reaction Systems in Biology

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  • More about Stochastic Chemical Reaction Systems in Biology

This book provides an introduction to the analysis of stochastic dynamic models in biology and medicine, with a focus on probabilistic techniques and mathematical tools for simulation and analysis. It is accessible to graduate students with a strong background in differential equations, nonlinear dynamical systems, Markovian stochastic processes, and probability theory.

Format: Paperback / softback
Length: 351 pages
Publication date: 19 October 2021
Publisher: Springer Nature Switzerland AG


This comprehensive book delves into the intricate realm of analyzing stochastic dynamic models in biology and medicine, aiming to provide a coherent framework of probabilistic techniques and mathematical tools for simulating and understanding diverse biological phenomena. Through a series of illustrative examples, readers are guided through the development of mathematical models based on a unified set of principles, encompassing gene expression, biochemistry, cellular regulation, and cancer biology. Each example is accompanied by a detailed biological background, leading to the formulation of mathematical models that capture the essential aspects of the underlying processes. These models are then analyzed rigorously, yielding valuable insights into the biological implications of the mathematical results.

The book is designed to cater to graduate students with a solid foundation in differential equations, nonlinear dynamical systems, Markovian stochastic processes, and both discrete and continuous state spaces. It assumes familiarity with basic probability theory concepts, making it an invaluable resource for those seeking to advance their understanding of biological systems through the lens of stochastic dynamics.

By presenting a comprehensive and accessible approach, this book empowers researchers and students to explore the complexities of biological systems and unravel the underlying mechanisms that govern their behavior. It serves as a valuable tool for researchers and practitioners in the fields of biology, medicine, and related disciplines, facilitating the exploration of new research directions and the development of innovative solutions to complex biological problems.

Weight: 575g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030862510
Edition number: 1st ed. 2021

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