Stochastic Approaches for Systems Biology

Authors: Ullah, Mukhtar, Wolkenhauer, Olaf

  • Focuses on both analytical and numerical approaches
  • Key Concepts in Stochastic Processes
  • Matlab examples provided
  • Many illustrations and examples included                    
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About this Textbook

This textbook focuses on stochastic modelling and its applications in systems biology. In addition to a review of probability theory, the authors introduce key concepts, including those of stochastic process, Markov property, and transition probability, side by side with notions of biochemical reaction networks. This leads to an intuitive presentation guided by a series of biological examples that are revisited throughout the text. The text shows how the notion of propensity, the chemical master equation and the stochastic simulation algorithm arise as consequences of the Markov property. The nontrivial relationships between various stochastic approaches are derived and illustrated. The text contains many illustrations, examples and exercises to communicate methods and analyses. Matlab code to simulate cellular systems is also provided where appropriate and the reader is encouraged to experiment with the examples and case studies provided. Senior undergraduate and graduate students in applied mathematics, the engineering and physical sciences as well as researchers working in the areas of systems biology, theoretical and computational biology will find this text useful.

About the authors

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

Table of contents (9 chapters)

Buy this book

eBook $59.99
price for USA (gross)
  • ISBN 978-1-4614-0478-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $79.99
price for USA
  • ISBN 978-1-4614-0477-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $79.99
price for USA
  • ISBN 978-1-4899-9491-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Stochastic Approaches for Systems Biology
Authors
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-0478-1
DOI
10.1007/978-1-4614-0478-1
Hardcover ISBN
978-1-4614-0477-4
Softcover ISBN
978-1-4899-9491-2
Edition Number
1
Number of Pages
XXXII, 290
Topics