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Mathematical Concepts and Methods in Modern Biology: Using Modern Discrete Models

Editat de Raina Robeva
en Limba Engleză Hardback – noi 2025
Mathematical Concepts and Methods in Modern Biology: Using Modern Discrete Models, Second Edition offers an updated, quantitative framework essential for analyzing, predicting, and modulating the behavior of complex biological systems. This book, structured around project-based learning and problem-solving principles, integrates crucial mathematical concepts, methods, and tools contextualized by vital questions raised in modern biology. Topics covered include neuronal networks, plant population growth, metabolic pathways, and phylogenetic tree reconstruction. New mathematical modeling tools featured include Boolean and ordinary differential equations, projection matrices, agent-based modeling, and several algebraic approaches.

Updated software manuals and codes are provided, 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 modern discrete mathematics and algebraic statistics
  • Includes updated computer codes and software manuals to reflect the current state of the field
  • Prepares readers, through examples, exercises, and carefully selected projects to transition successfully to engaging in student research and reading the research literature
  • Introduces discrete and algebraic methods in the context of important questions from modern biology at a level requiring minimal mathematical background
  • Emphasizes the use of specialized software as a necessary element of the modern biology skills set by integrating freely available applications and mainstream proprietary software in the presentation
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Specificații

ISBN-13: 9780443296529
ISBN-10: 0443296529
Pagini: 370
Dimensiuni: 191 x 235 mm
Ediția:2
Editura: ELSEVIER SCIENCE

Cuprins

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