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.
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 ...
By Mark Broom, Jan Rychtář
August 03, 2022
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...
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, ...
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 ...
By Yang Kuang, John D. Nagy, Steffen E. Eikenberry
February 18, 2016
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 ...
By Zhilan Feng, Donald DeAngelis
August 16, 2017
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 ...
By Vittorio Cristini, Eugene Koay, Zhihui Wang
July 06, 2017
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 ...
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 ...
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 ...
Edited
By Michael E. Wall
August 25, 2012
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 ...
Edited
By Thomas S. Deisboeck, Georgios Stamatakos
December 08, 2010
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 ...
By D.S. Jones, Michael Plank, B.D. Sleeman
November 09, 2009
Deepen students’ understanding of biological phenomena Suitable for courses on differential equations with applications to mathematical biology or as an introduction to mathematical biology, Differential Equations and Mathematical Biology, Second Edition introduces students in the physical, ...