Chapman & Hall/CRC Mathematical Biology Series
About the Book Series
This series aims to capture new developments in mathematical
biology, as well as high quality work summarizing or contributing to more
established topics. Publishing a broad range of textbooks, reference works, and
handbooks, the series is designed to appeal to students, researchers, and
professionals in mathematical biology.
We will consider proposals on all topics and applications within
the field, including but not limited to stochastic modelling, differential
equation modelling, dynamical systems, game theory, machine learning, data
science, evolutionary biology, cell biology, oncology, epidemiology, ecology,
and more.
Please contact us if you
have an idea for a book for the series.
Complex Population Dynamics: Theory and Data
1st Edition
By Shandelle M. Henson, Robert A. Desharnais, J. M. Cushing, Brian Dennis, R. F. Costantino
May 29, 2026
Complex Population Dynamics: Theory and Data brings together over two decades of research and reflection on experimental nonlinear population dynamics. The broad theme of the book is the interface of population data and mathematical models. The authors establish a cornerstone example of a ...
Multiscale Cancer Modeling
1st Edition
Edited
By Thomas S. Deisboeck, Georgios Stamatakos
October 14, 2024
Cancer is a complex disease process that spans multiple scales in space and time. Driven by cutting-edge mathematical and computational techniques, in silico biology provides powerful tools to investigate the mechanistic relationships of genes, cells, and tissues. It enables the creation of ...
Game-Theoretical Models in Biology
2nd Edition
By Mark Broom, Jan Rychtář
August 26, 2024
Covering the major topics of evolutionary game theory, Game-Theoretical Models in Biology, Second Edition presents both abstract and practical mathematical models of real biological situations. It discusses the static aspects of game theory in a mathematically rigorous way that is appealing to...
Mathematical Modeling in Biology: A Research Methods Approach
1st Edition
By Shandelle M. Henson, James L. Hayward
January 30, 2023
Mathematical Modeling in Biology: A Research Methods Approach is a textbook written primarily for advanced mathematics and science undergraduate students and graduate-level biology students. Although the applications center on ecology, the expertise of the authors, the methodology can be imported ...
An Introduction to Physical Oncology: How Mechanistic Mathematical Modeling Can Improve Cancer Therapy Outcomes
1st Edition
By Vittorio Cristini, Eugene Koay, Zhihui Wang
December 13, 2021
Physical oncology has the potential to revolutionize cancer research and treatment. The fundamental rationale behind this approach is that physical processes, such as transport mechanisms for drug molecules within tissue and forces exchanged by cancer cells with tissue, may play an equally ...
Introduction to Mathematical Oncology
1st Edition
By Yang Kuang, John D. Nagy, Steffen E. Eikenberry
March 31, 2021
Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and ...
Mathematical Models of Plant-Herbivore Interactions
1st Edition
By Zhilan Feng, Donald DeAngelis
March 31, 2021
Mathematical Models of Plant-Herbivore Interactions addresses mathematical models in the study of practical questions in ecology, particularly factors that affect herbivory, including plant defense, herbivore natural enemies, and adaptive herbivory, as well as the effects of these on plant ...
Quantitative Biology: From Molecular to Cellular Systems
1st Edition
Edited
By Michael E. Wall
September 30, 2020
Quantitative methods are revolutionizing modern molecular and cellular biology. Groundbreaking technical advances are fueling the rapid expansion in our ability to observe, as seen in multidisciplinary studies that integrate theory, computation, experimental assays, and the control of ...
Spatiotemporal Patterns in Ecology and Epidemiology: Theory, Models, and Simulation
1st Edition
By Horst Malchow, Sergei V. Petrovskii, Ezio Venturino
December 18, 2019
Although the spatial dimension of ecosystem dynamics is now widely recognized, the specific mechanisms behind species patterning in space are still poorly understood and the corresponding theoretical framework is underdeveloped. Going beyond the classical Turing scenario of pattern formation, ...
Exactly Solvable Models of Biological Invasion
1st Edition
By Sergei V. Petrovskii, Bai-Lian Li
September 11, 2019
Much of our current knowledge on biological invasion was derived from field studies, but many recent advances relied heavily on mathematics and computing, particularly mathematical modeling. While numerical simulations are clearly a useful approach, they have some serious drawbacks. Approximations ...
Stochastic Dynamics for Systems Biology
1st Edition
By Christian Mazza, Michel Benaim
March 11, 2014
Stochastic Dynamics for Systems Biology is one of the first books to provide a systematic study of the many stochastic models used in systems biology. The book shows how the mathematical models are used as technical tools for simulating biological processes and how the models lead to conceptual ...
Cellular Potts Models: Multiscale Extensions and Biological Applications
1st Edition
By Marco Scianna, Luigi Preziosi
March 26, 2013
A flexible, cell-level, and lattice-based technique, the cellular Potts model accurately describes the phenomenological mechanisms involved in many biological processes. Cellular Potts Models: Multiscale Extensions and Biological Applications gives an interdisciplinary, accessible treatment of ...