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Mathematical Concepts & Methods In Moder
Mathematical Concepts & Methods In Moder
Mathematical Concepts & Methods In Moder

Mathematical Concepts & Methods In Moder

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Mathematical Concepts and Methods in Modern BiologyUsing Modern Discrete Models\nAuthor(s): Raina Robeva\nFormat: Hardback\nPublisher: Elsevier Science Publishing Co Inc, United States\nImprint: Academic Press Inc\nISBN-13: 9780443296529, 978-0443296529\nSynopsis\nMathematical 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, Grbne.

Mathematical Concepts & Methods In Moder

Mathematical Concepts and Methods in Modern BiologyUsing Modern Discrete Models\nAuthor(s): Raina Robeva\nFormat: Hardback\nPublisher: Elsevier Science Publishing Co Inc, United States\nImprint: Academic Press Inc\nISBN-13: 9780443296529, 978-0443296529\nSynopsis\nMathematical 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, Grbne.

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