Mathematical Concepts and Methods in Modern Biology
Using Modern Discrete Models
- 2nd Edition - November 1, 2025
- Editor: Raina Robeva
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 2 9 6 5 2 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 9 6 5 3 - 6
Mathematical Concepts and Methods in Modern Biology: Using Modern Discrete Models, Second Edition presents an updated, quantitative framework for analyzing, predicting, and modula… Read more
Purchase options
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, Gröbner 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.
- Provides fully updated and expanded content, examples, exercises, and projects on applications of modern discrete mathematics and algebraic statistics to pressing problems in modern biology
- Introduces discrete and algebraic methods in the context of important biological questions
- Emphasizes the use of specialized software as a core element of the modern biology skill set by integrating open-source tools, freely available applications, and mainstream proprietary software
- Prepares readers – through examples, exercises, and carefully selected projects – to transition successfully into student research and engagement with the research literature
Researchers in algebraic biology, mathematical and computational biology
1. Modeling Gene Regulation Using Boolean Network Models
2. Bistability in Bacterial Genetic Networks
3. Inferring the Topology of Gene Regulatory Networks: An Algebraic Approach to Reverse Engineering
4. Stochastic Boolean Networks b including Probabilistic Boolean networks, perturbed Boolean networks, and probabilistic edge operators.
5. Global Dynamics Emerging from Local Interactions: Agent-Based Modeling for the Life Sciences
6. Agent-Based Models and Optimal Control in Biology: A Discrete Approach
7. Neuronal Networks: A Discrete Model by (TBD) Proposed Updates: P
8. Predicting Population Growth: Modeling with Projection Matrices b
9. Metabolic Pathway Analysis: A Linear Algebra Approach by (TBD)
10. Identifying CpG Islands Using Hidden Markov Models
11. Tropical Linear Algebra Approaches in Phylogenetics
12. Phylogenetic Tree Reconstruction: Geometric Approaches Pl
2. Bistability in Bacterial Genetic Networks
3. Inferring the Topology of Gene Regulatory Networks: An Algebraic Approach to Reverse Engineering
4. Stochastic Boolean Networks b including Probabilistic Boolean networks, perturbed Boolean networks, and probabilistic edge operators.
5. Global Dynamics Emerging from Local Interactions: Agent-Based Modeling for the Life Sciences
6. Agent-Based Models and Optimal Control in Biology: A Discrete Approach
7. Neuronal Networks: A Discrete Model by (TBD) Proposed Updates: P
8. Predicting Population Growth: Modeling with Projection Matrices b
9. Metabolic Pathway Analysis: A Linear Algebra Approach by (TBD)
10. Identifying CpG Islands Using Hidden Markov Models
11. Tropical Linear Algebra Approaches in Phylogenetics
12. Phylogenetic Tree Reconstruction: Geometric Approaches Pl
- Edition: 2
- Published: November 1, 2025
- Language: English
RR
Raina Robeva
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.
Affiliations and expertise
Professor of Mathematical Sciences, Sweet Briar College, VA, USA