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Mathematical Modeling in Systems Biology

Mathematical Modeling in Systems Biology Author Brian P. Ingalls
ISBN-10 9780262018883
Release 2013-07-05
Pages 408
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Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology. It is accessible to upper-level undergraduate or graduate students in life science or engineering who have some familiarity with calculus, and will be a useful reference for researchers at all levels. The first four chapters cover the basics of mathematical modeling in molecular systems biology. The last four chapters address specific biological domains, treating modeling of metabolic networks, of signal transduction pathways, of gene regulatory networks, and of electrophysiology and neuronal action potentials. Chapters 3--8 end with optional sections that address more specialized modeling topics. Exercises, solvable with pen-and-paper calculations, appear throughout the text to encourage interaction with the mathematical techniques. More involved end-of-chapter problem sets require computational software. Appendixes provide a review of basic concepts of molecular biology, additional mathematical background material, and tutorials for two computational software packages (XPPAUT and MATLAB) that can be used for model simulation and analysis.



Simulation Algorithms for Computational Systems Biology

Simulation Algorithms for Computational Systems Biology Author Luca Marchetti
ISBN-10 9783319631134
Release 2017-09-27
Pages 238
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This book explains the state-of-the-art algorithms used to simulate biological dynamics. Each technique is theoretically introduced and applied to a set of modeling cases. Starting from basic simulation algorithms, the book also introduces more advanced techniques that support delays, diffusion in space, or that are based on hybrid simulation strategies. This is a valuable self-contained resource for graduate students and practitioners in computer science, biology and bioinformatics. An appendix covers the mathematical background, and the authors include further reading sections in each chapter.



Biological Modeling and Simulation

Biological Modeling and Simulation Author Russell Schwartz
ISBN-10 9780262195843
Release 2008-07-25
Pages 389
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There are many excellent computational biology resources now available for learning about methods that have been developed to address specific biological systems, but comparatively little attention has been paid to training aspiring computational biologists to handle new and unanticipated problems. This text is intended to fill that gap by teaching students how to reason about developing formal mathematical models of biological systems that are amenable to computational analysis. It collects in one place a selection of broadly useful models, algorithms, and theoretical analysis tools normally found scattered among many other disciplines. It thereby gives the aspiring student a bag of tricks that will serve him or her well in modeling problems drawn from numerous subfields of biology. These techniques are taught from the perspective of what the practitioner needs to know to use them effectively, supplemented with references for further reading on more advanced use of each method covered. The text, which grew out of a class taught at Carnegie Mellon University, covers models for optimization, simulation and sampling, and parameter tuning. These topics provide a general framework for learning how to formulate mathematical models of biological systems, what techniques are available to work with these models, and how to fit the models to particular systems. Their application is illustrated by many examples drawn from a variety of biological disciplines and several extended case studies that show how the methods described have been applied to real problems in biology.



Systems Biology in Psychiatric Research

Systems Biology in Psychiatric Research Author Felix Tretter
ISBN-10 3527630287
Release 2010-03-30
Pages 368
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This first book to provide a comprehensive overview of the recent progress made in this break-through approach includes expert contributions from a variety of disciplines. Particular focus is placed on high-throughput methods and the analysis of data thus obtained, as well as their use in silico experiments so as to gain an insight into the complex biological processes in neuronal systems. A must-have for everyone working in psychiatric research.



Systems Biology

Systems Biology Author Fred Boogerd
ISBN-10 0080475272
Release 2007-03-20
Pages 360
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Systems biology is a vigorous and expanding discipline, in many ways a successor to genomics and perhaps unprecedented in its combination of biology with a great many other sciences, from physics to ecology, from mathematics to medicine, and from philosophy to chemistry. Studying the philosophical foundations of systems biology may resolve a longer standing issue, i.e., the extent to which Biology is entitled to its own scientific foundations rather than being dominated by existing philosophies. * Answers the question of what distinguishes the living from the non-living * An in-depth look to a vigorous and expanding discipline, from molecule to system * Explores the region between individual components and the system



System Modeling in Cell Biology

System Modeling in Cell Biology Author Zoltan Szallasi
ISBN-10 0262195488
Release 2006
Pages 448
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An introduction and overview of system modeling in biology that is accessible to researchers from different fields, including biology, computer science, mathematics, statistics, physics, and biochemistry.



System Modeling in Cellular Biology

System Modeling in Cellular Biology Author Zoltan Szallasi
ISBN-10 0262514222
Release 2010
Pages 448
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An introduction and overview of system modeling in biology that is accessible to researchers from different fields, including biology, computer science, mathematics, statistics, physics, and biochemistry.



Evolutionary Systems

Evolutionary Systems Author G. Vijver
ISBN-10 9789401715102
Release 2013-04-17
Pages 438
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The three well known revolutions of the past centuries - the Copernican, the Darwinian and the Freudian - each in their own way had a deflating and mechanizing effect on the position of humans in nature. They opened up a richness of disillusion: earth acquired a more modest place in the universe, the human body and mind became products of a long material evolutionary history, and human reason, instead of being the central, immaterial, locus of understanding, was admitted into the theater of discourse only as a materialized and frequently out-of-control actor. Is there something objectionable to this picture? Formulated as such, probably not. Why should we resist the idea that we are in certain ways, and to some degree, physically, biologically or psychically determined? Why refuse to acknowledge the fact that we are materially situated in an ever evolving world? Why deny that the ways of inscription (traces of past events and processes) are co-determinative of further "evolutionary pathways"? Why minimize the idea that each intervention, of each natural being, is temporally and materially situated, and has, as such, the inevitable consequence of changing the world? The point is, however, that there are many, more or less radically different, ways to consider the "mechanization" of man and nature. There are, in particular, many ways to get the message of "material and evolutionary determination", as well as many levels at which this determination can be thought of as relevant or irrelevant.



Handbook of Mathematical Models in Computer Vision

Handbook of Mathematical Models in Computer Vision Author Nikos Paragios
ISBN-10 9780387288314
Release 2006-01-16
Pages 606
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Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math ematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro ducing human visual abilities. Mathematical methods play a central role in this endeavour. Introduction David Marr's theory v^as a pioneering step tov^ards understanding visual percep tion. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical pattern recognition and artificial intelligence were introduced to bet ter address the visual perception problem. In this framework visual perception is represented by a set of actions and rules connecting these actions. The emerg ing concept of active vision consists of a selective visual perception paradigm that is basically equivalent to recovering from the environment the minimal piece information required to address a particular task of interest.



Towards a Theory of Development

Towards a Theory of Development Author Alessandro Minelli
ISBN-10 9780191651182
Release 2014-05-01
Pages 320
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Is it possible to explain and predict the development of living things? What is development? Articulate answers to these seemingly innocuous questions are far from straightforward. To date, no systematic, targeted effort has been made to construct a unifying theory of development. This novel work offers a unique exploration of the foundations of ontogeny by asking how the development of living things should be understood. It explores the key concepts of developmental biology, asks whether general principles of development can be discovered, and examines the role of models and theories. The two editors (one a biologist with long interest in the theoretical aspects of his discipline, the other a philosopher of science who has mainly worked on biological systems) have assembled a team of leading contributors who are representative of the scientific and philosophical community within which a diversity of thoughts are growing, and out of which a theory of development may eventually emerge. They analyse a wealth of approaches to concepts, models and theories of development, such as gene regulatory networks, accounts based on systems biology and on physics of soft matter, the different articulations of evolution and development, symbiont-induced development, as well as the widely discussed concepts of positional information and morphogenetic field, the idea of a 'programme' of development and its critiques, and the long-standing opposition between preformationist and epigenetic conceptions of development. Towards a Theory of Development is primarily aimed at students and researchers in the fields of 'evo-devo', developmental biology, theoretical biology, systems biology, biophysics, and the philosophy of science.



Discrete Mathematical Models with Applications to Social Biological and Environmental Problems

Discrete Mathematical Models  with Applications to Social  Biological  and Environmental Problems Author Fred S. Roberts
ISBN-10 UOM:39015003716993
Release 1976
Pages 559
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Mathematical models; Graphs; Applications of graphs; Weighted digraphs and pulse processes; Markov chains; n-Person games; Group decisionmaking; Measurement and utility; Index.



Modeling in the Neurosciences

Modeling in the Neurosciences Author G. N. Reeke
ISBN-10 9780203390979
Release 2005-03-29
Pages 736
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Computational models of neural networks have proven insufficient to accurately model brain function, mainly as a result of simplifications that ignore the physical reality of neuronal structure in favor of mathematically tractable algorithms and rules. Even the more biologically based "integrate and fire" and "compartmental" styles of modeling suffer from oversimplification in the former case and excessive discretization in the second. This book introduces an integrative approach to modeling neurons and neuronal circuits that retains the integrity of the biological units at all hierarchical levels. With contributions from more than 40 renowned experts, Modeling in the Neurosciences, Second Edition is essential for those interested in constructing more structured and integrative models with greater biological insight. Focusing on new mathematical and computer models, techniques, and methods, this book represents a cohesive and comprehensive treatment of various aspects of the neurosciences from the molecular to the network level. Many state-of-the-art examples illustrate how mathematical and computer modeling can contribute to the understanding of mechanisms and systems in the neurosciences. Each chapter also includes suggestions of possible refinements for future modeling in this rapidly changing and expanding field. This book will benefit and inspire the advanced modeler, and will give the beginner sufficient confidence to model a wide selection of neuronal systems at the molecular, cellular, and network levels.



Artificial Chemistries

Artificial Chemistries Author Wolfgang Banzhaf
ISBN-10 9780262029438
Release 2015-07-03
Pages 576
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An introduction to the fundamental concepts of the emerging field of Artificial Chemistries, covering both theory and practical applications.



International Journal of Bioinformatics Research and Applicatons

International Journal of Bioinformatics Research and Applicatons Author
ISBN-10 17445485
Release 2006
Pages
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International Journal of Bioinformatics Research and Applicatons has been writing in one form or another for most of life. You can find so many inspiration from International Journal of Bioinformatics Research and Applicatons also informative, and entertaining. Click DOWNLOAD or Read Online button to get full International Journal of Bioinformatics Research and Applicatons book for free.



Bibliographic Index

Bibliographic Index Author
ISBN-10 STANFORD:36105025908224
Release 2006
Pages 26
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Bibliographic Index has been writing in one form or another for most of life. You can find so many inspiration from Bibliographic Index also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Bibliographic Index book for free.



System Modeling and Response

System Modeling and Response Author Ernest O. Doebelin
ISBN-10 UOM:39015006088150
Release 1980
Pages 587
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System Modeling and Response has been writing in one form or another for most of life. You can find so many inspiration from System Modeling and Response also informative, and entertaining. Click DOWNLOAD or Read Online button to get full System Modeling and Response book for free.



Autonomous Robots

Autonomous Robots Author George A. Bekey
ISBN-10 0262025787
Release 2005
Pages 577
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An introduction to the science and practice of autonomous robots that reviews over 300 current systems and examines the underlying technology.