
Mathematical Concepts and Methods in Modern Biology
Using Modern Discrete Models
Raina Robeva(Editor)
Academic Press
2nd Edition
Published on 20. March 2026
Book
Hardback
446 pages
978-0-443-29652-9 (ISBN)
Description
Mathematical Concepts and Methods in Modern Biology: Using Modern Discrete Models, Second Edition presents an updated, quantitative framework for analyzing, predicting, and modulating complex biological systems. Structured around project-based learning and problem-solving, it integrates essential mathematical concepts and methods in the context of key biological questions. Topics include gene regulatory and neuronal networks, CpG islands, plant population growth, interacting populations, phylogenetics, and phylogenomics. Modeling tools span discrete dynamical systems (including deterministic and stochastic Boolean networks), ordinary differential equations, projection matrices, agent-based modeling, polynomial ideals, Groebner bases, tropical algebra, and other algebraic approaches. Computation is supported by a range of software tools, including some developed for this book, as well as open source, freely available, and proprietary platforms. Updated code examples and step-by-step instructions illustrate software use, making this a valuable resource for health professionals, scientists, researchers, and students in related fields.
More details
Edition
2nd edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
College/higher education
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 239 mm
Width: 196 mm
Thickness: 27 mm
Weight
1089 gr
ISBN-13
978-0-443-29652-9 (9780443296529)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
03/2026
2nd Edition
Academic Press
€116.99
Available for download
Previous edition

Raina Robeva | Terrell Hodge
Mathematical Concepts and Methods in Modern Biology
Using Modern Discrete Models
Book
02/2013
Academic Press
€93.00
Shipment within 15-20 days
Person
Raina Robeva was born in Sofia, Bulgaria. She holds a Ph.D. in Mathematics from the University of Virginia and is a Professor of Mathematics and a Karl E. Peace Fellow in Mathematics at Randolph-Macon College in the United States. Her current research is in the broad fields of mathematical and systems biology. In addition to editing this second edition, she has authored and edited several books, including A Bridge to Higher Mathematics (CRC Press, 2024), Algebraic and Combinatorial Computational Biology (Academic Press, 2019), and Algebraic and Discrete Mathematical Methods for Modern Biology (Academic Press, 2015). She has chaired the Advisory Board of the National Institute for Mathematical and Biological Synthesis (NIMBioS), led the Committee on Special Interest Groups of the Mathematical Association of America, and served for over a decade as the founding Editor-in-Chief of Frontiers in Systems Biology.
Editor
Professor of Mathematics, Karl E. Peace Fellow in Mathematics, Randolph-Macon College, VA USA
Content
Modeling gene regulation using Boolean network models
Bistability in bacterial genetic networks: A comparison of differential equations and Boolean network models
Inferring the topology of gene regulatory networks: An algebraic approach to reverse engineering
Stochastic Boolean Networks
Global dynamics emerging from local interactions: Agent-based modeling for the life sciences
Agent-based models and optimal control in biology: A discrete approach
Neuronal networks: A discrete model
Predicting population growth: Modeling with projection matrices
Identifying CpG islands: Sliding window and hidden Markov model approaches
Phylogenetic tree reconstruction: Geometric approaches
Tropical linear algebra and its applications to phylogenomics
Bistability in bacterial genetic networks: A comparison of differential equations and Boolean network models
Inferring the topology of gene regulatory networks: An algebraic approach to reverse engineering
Stochastic Boolean Networks
Global dynamics emerging from local interactions: Agent-based modeling for the life sciences
Agent-based models and optimal control in biology: A discrete approach
Neuronal networks: A discrete model
Predicting population growth: Modeling with projection matrices
Identifying CpG islands: Sliding window and hidden Markov model approaches
Phylogenetic tree reconstruction: Geometric approaches
Tropical linear algebra and its applications to phylogenomics