Stochastic Modelling For Systems Biology, Third Edition: A Cutting-edge Guide to Unraveling Biological Complexity

In the realm of life sciences, comprehending the intricate workings of biological systems is paramount in unraveling the mysteries of life itself. Among the myriad approaches to deciphering these complex systems, stochastic modelling has emerged as an indispensable tool, offering a powerful framework for capturing the inherent randomness and fluctuations that characterize biological processes. Stochastic Modelling for Systems Biology, Third Edition, published by Chapman Hall/CRC, is the definitive guide to this transformative methodology, empowering researchers and practitioners in biology, bioinformatics, and related fields with the knowledge and tools to harness the power of stochastic modelling.

Delving into the Third Edition

The latest edition of this acclaimed text has been meticulously updated and expanded, reflecting the rapid advancements in the field. Boasting an impressive 53% of new material, it introduces cutting-edge topics such as the latest developments in algorithmic methods, Bayesian inference techniques, and biomolecular kinetics. Additionally, it features a comprehensive collection of online supplementary resources, including datasets, tutorials, and interactive simulations, enhancing the learning experience and providing convenient access to valuable materials.

Stochastic Modelling for Systems Biology, Third Edition (Chapman & Hall/CRC Computational Biology Series)

by Rowan Jacobsen

4.2 out of 5

Language	:	English
File size	:	17224 KB
Screen Reader	:	Supported
Print length	:	404 pages
X-Ray for textbooks	:	Enabled

FREE

A Comprehensive Coverage of Stochastic Modelling Techniques

Stochastic Modelling for Systems Biology, Third Edition, offers an unparalleled exploration of stochastic modelling techniques, catering to both beginners and experienced researchers alike. It meticulously covers a wide spectrum of topics, from fundamental concepts and mathematical foundations to advanced applications and cutting-edge research directions.

The book commences with an exposition of the fundamental principles of stochastic processes, including Poisson processes, Markov processes, and diffusion processes. It then delves into more advanced topics, such as stochastic differential equations, network models, and agent-based models. Each chapter is meticulously structured, featuring clear and concise explanations, illustrative examples, and a comprehensive selection of exercises to reinforce understanding.

Unveiling the Power of Stochastic Modelling

Throughout the book, the authors showcase the immense power of stochastic modelling in addressing real-world problems in systems biology. They draw upon a wealth of case studies and practical examples to illustrate how stochastic models can be applied to decipher diverse biological phenomena, ranging from gene regulation and cell signaling to population dynamics and disease spread.

Stochastic Modelling for Systems Biology, Third Edition, empowers readers with the knowledge and skills to:

* Construct and analyze stochastic models of biological systems * Quantify uncertainty and variability in biological processes * Evaluate the performance of stochastic models and select the most appropriate ones * Utilize stochastic modelling to design experiments and interpret experimental data

A Valuable Resource for Researchers and Practitioners

Stochastic Modelling for Systems Biology, Third Edition, is an indispensable resource for researchers and practitioners in various fields, including:

* Biology * Bioinformatics * Computational Biology * Systems Biology * Bioengineering * Medicine

It serves as an ideal textbook for graduate courses in stochastic modelling for systems biology, providing a rigorous and comprehensive foundation for students entering this dynamic field. Additionally, it is an invaluable reference for experienced researchers seeking to expand their knowledge and stay abreast of the latest advancements in stochastic modelling.

About the Authors

The authors of Stochastic Modelling for Systems Biology, Third Edition, are renowned experts in the field of stochastic modelling for biological systems.

* Darren J. Wilkinson is a Professor of Systems Biology at The University of Manchester, UK, and a world-leading authority on stochastic modelling in systems biology. * Michael A. Osborne is a Professor of Machine Learning at The University of Oxford, UK, and an acclaimed researcher in the field of Bayesian methods for stochastic modelling.

Their combined expertise and passion for the subject shine through in every chapter of this exceptional book, making it an authoritative and accessible guide to stochastic modelling for systems biology.

Stochastic Modelling for Systems Biology, Third Edition, is the definitive guide to harnessing the power of stochastic modelling in unraveling the intricacies of biological systems. Its comprehensive coverage, cutting-edge content, and wealth of practical applications make it an indispensable resource for researchers, practitioners, and students alike. Embark on a journey to enhance your understanding of stochastic modelling and gain invaluable insights into the complex and fascinating world of biological systems.

Stochastic Modelling for Systems Biology, Third Edition (Chapman & Hall/CRC Computational Biology Series)

by Rowan Jacobsen

4.2 out of 5

Language	:	English
File size	:	17224 KB
Screen Reader	:	Supported
Print length	:	404 pages
X-Ray for textbooks	:	Enabled

FREE