Ebook: Branching Processes in Biology
- Genre: Biology
- Tags: Mathematical and Computational Biology, Probability Theory and Stochastic Processes, Statistics for Life Sciences Medicine Health Sciences, Bioinformatics, Cell Biology
- Series: Interdisciplinary Applied Mathematics 19
- Year: 2002
- Publisher: Springer New York
- City: New York
- Edition: 1
- Language: English
- pdf
This book provides a theoretical background of branching process and discusses their biological applications. Branching processes are a well-developed and powerful set of tools in the field of applied probability. The range of applications considered includes molecular biology, cellular biology, human evolution, and medicine. The branching processes discussed include Galton-Watson, Markov, Bellman-Harris, Multitype, and General Processes. As an aid to understanding specific examples, two introductory chapters and two glossaries are included that provide background material in mathematics and in biology.
The book will be of interest to scientists who work in quantitative modeling of biological systems, particularly probabilists, mathematical biologists, biostatisticians, cell biologists, molecular biologists, and bioinformaticians.
The authors are a mathematician and cell biologist who have collaborated for more than a decade in the field of branching processes in biology.
This book provides a theoretical background of branching processes and discusses their biological applications. Branching processes are a well developed and powerful set of tools in the field of applied probability. The range of applications considered includes molecular biology, cellular biology, human evolution and medicine. The branching processes discussed include Galton-Watson, Markov, Bellman-Harris, Multitype, and General Processes. As an aid to understanding specific examples, two introductory chapters, and two glossaries are included that provide background material in mathematics and in biology. The book will be of interest to scientists who work in quantitative modeling of biological systems, particularly probabilists, mathematical biologists, biostatisticians, cell biologists, molecular biologists, and bioinformaticians.
The authors are a mathematician and cell biologist who have collaborated for more than a decade in the field of branching processes in biology.