Stochastic Approaches for Systems Biology
(Sprache: Englisch)
This book presents key concepts in stochastic approaches for systems biology. It focuses on both analytical and numerical approaches and features Matlab examples as well as many illustrations.
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This book presents key concepts in stochastic approaches for systems biology. It focuses on both analytical and numerical approaches and features Matlab examples as well as many illustrations.
Klappentext zu „Stochastic Approaches for Systems Biology “
This textbook focuses on stochastic analysis in systems biology containing both the theory and application. While the authors provide a review of probability and random variables, subsequent notions of biochemical reaction systems and the relevant concepts of probability theory are introduced side by side. This leads to an intuitive and easy-to-follow presentation of stochastic framework for modeling subcellular biochemical systems. In particular, the authors make an effort to show how the notion of propensity, the chemical master equation and the stochastic simulation algorithm arise as consequences of the Markov property.The text contains many illustrations, examples and exercises to illustrate the ideas and methods that are introduced. Matlab code is also provided where appropriate. Additionally, the cell cycle is introduced as a more complex case study.
Senior undergraduate and graduate students in mathematics and physics as well as researchers working in the area of systems biology, bioinformatics and related areas will find this text useful.
The discrete and random occurrence far from thermodynamic equilibrium of chemical reactions, and low copy numbers of chemical species, in single cells necessitate stochastic approaches for modelling.
The book focuses on analytical approaches, complementing publications on stochastic simulations. There are numerous existing approaches in this field that describe their formal relationships, helping the novice to survey the field.
Throughout the text, a couple of pedagogical examples are revisited to illustrate ideas and methods as they are introduced. Additionally, the cell cycle model is included as a more complex case study.
For the advanced reader, a chapter is included at the end which deals with a general Markov process with both continuous and jump character.
Mukhtar Ullah is at the University of University of Rostock in Germany, where he is a research assistant in the Systems Biology and Bioinformatics group in the Department of Computer Science. His research is concerned with the stochastic modelling of subcellular biochemical systems.
Olaf Wolkenhauer is a founding editor of the first international journal on systems biology (IET Systems Biology, London). His research interests are in data analysis and mathematical modelling directed towards an understanding of cell function. His work concentrates on a systems-theoretic approach to understand the regulation, control and coordination of intra and intercellular processes.examples are revisited to illustrate ideas and methods as they are introduced. Additionally, the cell cycle model is included as a more complex case study.
For the advanced reader, a chapter is included at the end which deals with a general Markov process with both continuous and jump character.
Mukhtar Ullah is at the University of University of Rostock in Germany, where he is a research assistant in the Systems Biology and Bioinformatics group in the Department of Computer
The book focuses on analytical approaches, complementing publications on stochastic simulations. There are numerous existing approaches in this field that describe their formal relationships, helping the novice to survey the field.
Throughout the text, a couple of pedagogical examples are revisited to illustrate ideas and methods as they are introduced. Additionally, the cell cycle model is included as a more complex case study.
For the advanced reader, a chapter is included at the end which deals with a general Markov process with both continuous and jump character.
Mukhtar Ullah is at the University of University of Rostock in Germany, where he is a research assistant in the Systems Biology and Bioinformatics group in the Department of Computer Science. His research is concerned with the stochastic modelling of subcellular biochemical systems.
Olaf Wolkenhauer is a founding editor of the first international journal on systems biology (IET Systems Biology, London). His research interests are in data analysis and mathematical modelling directed towards an understanding of cell function. His work concentrates on a systems-theoretic approach to understand the regulation, control and coordination of intra and intercellular processes.examples are revisited to illustrate ideas and methods as they are introduced. Additionally, the cell cycle model is included as a more complex case study.
For the advanced reader, a chapter is included at the end which deals with a general Markov process with both continuous and jump character.
Mukhtar Ullah is at the University of University of Rostock in Germany, where he is a research assistant in the Systems Biology and Bioinformatics group in the Department of Computer
Inhaltsverzeichnis zu „Stochastic Approaches for Systems Biology “
- Preface- Acknowledgments
- Acronyms
- Notation
- List of Figures
- List of Tables
- Introduction
- Probability and random variables
- Stochastic modelling
- The 2MA approach
- The 2MA cell cycle model
- Markov processes with both continuous and jump character
- Matlab codes
- Bibliography
Autoren-Porträt von Mukhtar Ullah, Olaf Wolkenhauer
Olaf Wolkenhauer received his first degrees in control engineering from the University of Applied Sciences in Hamburg, Germany and the University of Portsmouth in the U.K. He obtained his PhD from the University of Manchester, Institute of Science & Technology (UMIST) for research on the application of possibility theory to data analysis. Following a research lectureship at the Control Systems Centre at UMIST and a research fellowship at the Technical University Delft in the Netherlands, he directed his research towards systems biology. This led to a joint senior lectureship with the Dept. of Biomolecular Sciences and the Dept. of Electrical Engineering and Electronics, at UMIST. In 2003 he moved to the University of Rostock in Germany, where he heads the Department of Systems Biology and Bioinformatics. He is a fellow of the Stellenbosch Institute for Advanced Study (STIAS). Olaf Wolkenhauer's research interests are in mathematical modelling and data analysis. His work concentrates on a systems-theoretic approach to understand the regulation, control and coordination of complex dynamical systems. Webpage: www.sbi.uni-rostock.de Mukhtar Ullah received his BSc in Electrical Engineering from N-W.F.P University of Engineering and Technology Peshawar, N-W.F.P, Pakistan. He completed his MSc. in Advanced Control and Systems Engineering from the Department of Electrical Engineering and Electronics, at the University of Manchester Institute of Science and Technology (UMIST), Manchester, U.K. in 2002. In 2003 he moved to the University of Rostock in Germany as a research assistant in the Department of Systems Biology and Bioinformatics in the Institute of Computer Science. In 2009 he completed his PhD from the same department. He is currently working as a post-doctoral research associate in the same department. His research focuses on stochastic modelling of biological systems. Webpage: www.sbi.uni-rostock.de
Bibliographische Angaben
- Autoren: Mukhtar Ullah , Olaf Wolkenhauer
- 2011, XXXII, 290 Seiten, Masse: 15,6 x 23,4 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1461404770
- ISBN-13: 9781461404774
Sprache:
Englisch
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