Mathematical Concepts and Methods in Modern Biology: Using Modern Discrete Models
Editat de Raina Robevaen Limba Engleză Hardback – aug 2025
- 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
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
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