A Guide to Numerical Modelling in Systems Biology (Texts in Computational Science and Engineering, 12)

This book is a game-changer for students of computational systems biology! It bridges the gap between mathematical and computational approaches, providing a comprehensive understanding of computational methods in systems biology.

With a focus on practical examples and hands-on exercises, this book makes complex concepts accessible and engaging.

The authors' expertise in teaching courses at Freie Universität Berlin shines through in their ability to convey essential mathematical insights without overwhelming readers with theorems.

The book covers three key chapters: modeling biochemical and physiological processes, simulating dynamics of biological networks, and identifying model parameters through comparisons with real data.

Throughout, the authors discuss the strengths and weaknesses of numerical algorithms in relation to various systems biology issues, providing a well-rounded understanding of the field.

With included software downloads and a list of numerical algorithms, this book is an invaluable resource for anyone looking to deepen their knowledge of computational systems biology.

Don't miss out on this opportunity to revolutionize your understanding of this exciting field!