Computational Models For Life Sciences Cmls 07

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Computational Models For Life Sciences Cmls 07

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Author : Tuan D. Pham
language : en
Publisher: American Institute of Physics
Release Date : 2007-11-26

Computational Models For Life Sciences Cmls 07 written by Tuan D. Pham and has been published by American Institute of Physics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-26 with Computers categories.

This conference proceedings text features research papers that address novel applications of computer, physical, engineering and mathematical models for solving modern challenging problems in life sciences. All the papers, presented at the Computational Models for Life Sciences conference held in 2007, have been peer-reviewed. They cover a huge range of topics, including image analysis, computer vision, and pattern analysis and classification, among many others.

Computational Models For Life Sciences Cmls 07

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Author :
language : en
Publisher:
Release Date : 2007

Computational Models For Life Sciences Cmls 07 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.

2009 International Conference On Computational Models For Life Sciences Cmls 09

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Author : Xiaobo Zhou
language : en
Publisher: American Institute of Physics
Release Date : 2010-03-01

2009 International Conference On Computational Models For Life Sciences Cmls 09 written by Xiaobo Zhou and has been published by American Institute of Physics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-01 with Computers categories.

This conference aims to bring biologists, medical and health-science researchers together with computational scientists to focus on problems at the frontier of computational life sciences. The conference proceedings consists of research papers addressing novel applications of computer, physical, engineering and mathematical models for solving modern challenging problems in life sciences. Topics include image analysis, computer vision, pattern analysis and classification, information visualization, signal processing, control theory, information theory, statistical analysis, numerical analysis, fractals and chaos, optimization, simulation and modeling, computational intelligence methods, machine learning, data mining, decision support systems, database integration and management.

Biological Modeling And Simulation

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Author : Russell Schwartz
language : en
Publisher: MIT Press
Release Date : 2008-07-25

Biological Modeling And Simulation written by Russell Schwartz and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-25 with Science categories.

A practice-oriented survey of techniques for computational modeling and simulation suitable for a broad range of biological problems. 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.

Computational Cell Biology

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Author : Christopher P. Fall
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-02-15

Computational Cell Biology written by Christopher P. Fall and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-15 with Science categories.

This textbook provides an introduction to dynamic modeling in molecular cell biology, taking a computational and intuitive approach. Detailed illustrations, examples, and exercises are included throughout the text. Appendices containing mathematical and computational techniques are provided as a reference tool.

2011 International Symposium On Computational Models For Life Sciences Cmls 11

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Author : Tuan D. Pham
language : en
Publisher: American Institute of Physics
Release Date : 2011-07-12

2011 International Symposium On Computational Models For Life Sciences Cmls 11 written by Tuan D. Pham and has been published by American Institute of Physics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-12 with Computers categories.

This conference aims to bring biologists, medical and health-science researchers together with computational scientists to focus on problems at the frontier of computational life sciences. The conference proceedings consists of research papers addressing novel applications of computer, physical, engineering and mathematical models for solving modern challenging problems in life sciences. Topics include image analysis, computer vision, pattern analysis and classification, information visualization, signal processing, control theory, information theory, statistical analysis, numerical analysis, fractals and chaos, optimization, simulation and modeling, computational intelligence methods, machine learning, data mining, decision support systems, database integration and management.

Transactions On Computational Systems Biology Xi

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Author : Corrado Priami
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-07

Transactions On Computational Systems Biology Xi written by Corrado Priami and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-07 with Computers categories.

This issue on Computational Models for Cell Processes is based on a workshop that took place in Turku, Finland, May 2008. The papers span a mix of approaches to systems biology, ranging from quantitative techniques to computing paradigms inspired by biology.

Molecular Computation Models

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Author : Marian Gheorghe
language : en
Publisher: IGI Global
Release Date : 2005-01-01

Molecular Computation Models written by Marian Gheorghe and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-01 with Science categories.

With the increasing complexity of software systems and their widespread growth into many aspects of our lives, the need to search for new models, paradigms, and ultimately, technologies, to manage this problem is evident. The way nature solves various problems through processes evolving during billions of years was always an inspiration to many computational paradigms; on the other hand, the complexity of the problems posed by the investigation of biological systems challenged the research of new tractable models. Molecular Computational Models: Unconventional Approaches is looking into new computational paradigms from both a theoretical perspective which offers a solid foundation of the models developed, as well as from a modeling angle, in order to reveal their effectiveness in modeling and simulating, especially biological systems. Tools and programming concepts and implementation issues are also discussed in the context of some experiments and comparative studies.

Uncertainty In Biology

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Author : Liesbet Geris
language : en
Publisher: Springer
Release Date : 2015-10-26

Uncertainty In Biology written by Liesbet Geris and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-26 with Technology & Engineering categories.

Computational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background. However these biomedical problems are inherently complex with a myriad of influencing factors, which strongly complicates the model building and validation process. This book wants to address four main issues related to the building and validation of computational models of biomedical processes: 1. Modeling establishment under uncertainty 2. Model selection and parameter fitting 3. Sensitivity analysis and model adaptation 4. Model predictions under uncertainty In each of the abovementioned areas, the book discusses a number of key-techniques by means of a general theoretical description followed by one or more practical examples. This book is intended for graduate students and researchers active in the field of computational modeling of biomedical processes who seek to acquaint themselves with the different ways in which to study the parameter space of their model as well as its overall behavior.

Computational Modeling Of Biological Systems

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Author : Nikolay V Dokholyan
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-12

Computational Modeling Of Biological Systems written by Nikolay V Dokholyan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-12 with Science categories.

Computational modeling is emerging as a powerful new approach to study and manipulate biological systems. Multiple methods have been developed to model, visualize, and rationally alter systems at various length scales, starting from molecular modeling and design at atomic resolution to cellular pathways modeling and analysis. Higher time and length scale processes, such as molecular evolution, have also greatly benefited from new breeds of computational approaches. This book provides an overview of the established computational methods used for modeling biologically and medically relevant systems.