Computational Models For Life Sciences (CMLS '07)

Computational Models For Life Sciences (CMLS '07) PDF

Author: Tuan D. Pham

Publisher: American Institute of Physics

Published: 2007-11-26

Total Pages: 386

ISBN-13:

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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.

2009 International Conference on Computational Models for Life Sciences (CMLS-09)

2009 International Conference on Computational Models for Life Sciences (CMLS-09) PDF

Author: Xiaobo Zhou

Publisher: American Institute of Physics

Published: 2010-03-01

Total Pages: 0

ISBN-13: 9780735407473

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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.

Computational Cell Biology

Computational Cell Biology PDF

Author: Christopher P. Fall

Publisher: Springer Science & Business Media

Published: 2007-06-04

Total Pages: 484

ISBN-13: 0387224599

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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.

Transactions on Computational Systems Biology XI

Transactions on Computational Systems Biology XI PDF

Author: Corrado Priami

Publisher: Springer Science & Business Media

Published: 2009-09-07

Total Pages: 343

ISBN-13: 364204185X

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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.

Biological Modeling and Simulation

Biological Modeling and Simulation PDF

Author: Russell Schwartz

Publisher: MIT Press

Published: 2008-07-25

Total Pages: 403

ISBN-13: 0262303396

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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.

Uncertainty in Biology

Uncertainty in Biology PDF

Author: Liesbet Geris

Publisher: Springer

Published: 2015-10-26

Total Pages: 471

ISBN-13: 3319212966

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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.

Science and Engineering in High-Throughput Biology Including a Theory on Parkinson's Disease

Science and Engineering in High-Throughput Biology Including a Theory on Parkinson's Disease PDF

Author: Andr X. C. N. Valente

Publisher: Lulu.com

Published: 2011-08

Total Pages: 95

ISBN-13: 1257111752

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Biology is shifting from its data-poor origins to a quantitative data, high-throughput regime. Accompanying this change is an increasing technical capacity to engineer biological constructs. This book is about theory in this new context for the Life Sciences. Three articles, each preceded by an explanatory introduction, are presented. They propose: * A framework for prediction in this new data-rich regime. * A theory on the systemic nature and hematopoietic origin of Parkinson's Disease. * An approach to engineering design in the biological context, in particular in Synthetic Biology.

Computational Modeling of Biological Systems

Computational Modeling of Biological Systems PDF

Author: Nikolay V Dokholyan

Publisher: Springer Science & Business Media

Published: 2012-02-12

Total Pages: 360

ISBN-13: 1461421454

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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.