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. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist;
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Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for;
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Emphasises a hands-on approach to modelling Strong emphasis on coding and software tools for systems biology Covers the entire spectrum;
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This book provides an introduction to the analysis of stochastic dynamic models in biology and medicine. The main aim is to offer a;
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of biological issues such as energetic gain, energy-predation trade-offs, dynamic games, state-dependent life histories, annual routines and fluctuating;
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of biological issues such as energetic gain, energy-predation trade-offs, dynamic games, state-dependent life histories, annual routines and fluctuating;
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Biophysical models have been used in biology for decades, but they have been limited in scope and size. In this book, Bernhard O. Palsson;
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This book surveys theoretical models in three broad areas of biology (the origin of life, the immune system, and memory in the brain;
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Climate models have evolved into Earth system models with representation of the physics, chemistry, and biology of terrestrial ecosystems;
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Climate models have evolved into Earth system models with representation of the physics, chemistry, and biology of terrestrial ecosystems;
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Discusses dynamic models for sustainable development;
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organization. In recent decades, empirical work in industrial organization has moved towards dynamic and equilibrium models, involving econometric;
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organization. In recent decades, empirical work in industrial organization has moved towards dynamic and equilibrium models, involving econometric;
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Computational methods are playing an ever increasing role in cell biology.This volume of Methods in Cell Biology focuses on;
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An up-to-date survey of mathematical models of carcinogenesis, providing the most recent findings of cancer biology as evidence of the;
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biology. Kinetic Modelling in Systems Biology focuses on one of the main pillars in the future development of systems biology. It explores both;
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biology. Kinetic Modelling in Systems Biology focuses on one of the main pillars in the future development of systems biology. It explores both;
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model and to present those as static models for remaining lifetime after diagnosis or treatment. In contrast, Dynamic Prediction in Clinical;
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This volume explores the latest models and techniques used to study brain tumor biology. Chapters in this book are organized into four;
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The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover;
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Mathematical Biology has grown at an astonishing rate and has established itself as a distinct discipline. Mathematical modeling is now;
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This book constitutes the thoroughly refereed proceedings of the 6th International Workshop on Hybrid Systems Biology, HSB 2019, held;
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theory and application of dynamic economic models. It guides students through the most popular model structures and solution concepts, from the;
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in a host of diseases, a critical factor in specialized drug development. Systems Biology and Bioinformatics: A Computational Approach provides;
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in a host of diseases, a critical factor in specialized drug development. Systems Biology and Bioinformatics: A Computational Approach provides;
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This book seeks to summarize our recent progress in dynamic trans- portation network modeling. It concentrates on ideal dynamic network;
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their applications in the construction and analysis of dynamic economic models. It explains the theory of linear difference equations and;
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