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Modeling, Simulation and Optimization of Complex Processes
  • Language: en
  • Pages: 600

Modeling, Simulation and Optimization of Complex Processes

This proceedings volume contains a selection of papers presented at the symposium "International Conference on High Performance Scientific Computing'' held at the Hanoi Institute of Mathematics of the Vietnam National Center for Natural Science and Technology (NCST), March 10-14, 2003. The conference has been organized by the Hanoi Institute of Mathematics, SFB 359 ''Reactive Flows, Transport and Diffusion'', Heidelberg, Ho Chi Minh City University of Technology and Interdisciplinary Center for Scientific Computing (IWR), Heidelberg. The contributions cover the broad interdisciplinary spectrum of scientific computing and present recent advances in theory, development of methods, and applications in practice. Subjects covered are mathematical modelling, numerical simulation, methods for optimization and optimal control, parallel computing, symbolic computing, software development, applications of scientific computing in physics, chemistry, biology and mechanics, environmental and hydrology problems, transport, logistics and site location, communication networks, production scheduling, industrial and commercial problems.

Systems Biology and Bioinformatics in Gastroenterology and Hepatology
  • Language: en
  • Pages: 291
High Confidence Network Predictions from Big Biological Data
  • Language: en
  • Pages: 111

High Confidence Network Predictions from Big Biological Data

Biology functions in a most intriguing fashion, with human cells being regulated by multiplex networks of proteins and their dependent systems that control everything from proliferation to cell death. Notably, there are cases when these networks fail to function properly. In some diseases there are multiple small perturbations that push the otherwise healthy cells into a state of malfunction. These maladies are referred to as complex diseases, and include common disorders such as allergy, diabetes type II, and multiple sclerosis, and due to their complexity there is no universally defined approach to fully understand their pathogenesis or pathophysiology. While these perturbations can be mea...

Systems Biology
  • Language: en
  • Pages: 593

Systems Biology

This advanced textbook is tailored to the needs of introductory course in Systems Biology. It has a compagnion website (www.wiley-vch.de/home/systemsbiology)with solutions to questions in the book and several additional extensive working models. The book is related to the very successful previous title 'Systems Biology in Practice' and has incorporated the feedback and suggestions from many lecturers worldwide. The book addresses biologists as well as engineers and computer scientists. The interdisciplinary team of acclaimed authors worked closely together to ensure a comprehensive coverage with no overlaps in a homogenous and compelling style.

Towards Personalized Models of the Cardiovascular System Using 4D Flow MRI
  • Language: en
  • Pages: 92

Towards Personalized Models of the Cardiovascular System Using 4D Flow MRI

Current diagnostic tools for assessing cardiovascular disease mostly focus on measuring a given biomarker at a specific spatial location where an abnormality is suspected. However, as a result of the dynamic and complex nature of the cardiovascular system, the analysis of isolated biomarkers is generally not sufficient to characterize the pathological mechanisms behind a disease. Model-based approaches that integrate the mechanisms through which different components interact, and present possibilities for system-level analyses, give us a better picture of a patient’s overall health status. One of the main goals of cardiovascular modelling is the development of personalized models based on ...

Handbook of Statistical Systems Biology
  • Language: en
  • Pages: 624

Handbook of Statistical Systems Biology

Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that can be made from mathematical models. This handbook presents a comprehensive guide to the discipline for practitioners and educators, in providing a full and detailed treatment of these important and emerging subjects. Leading experts in systems biology and statistics have come together to provide insight in to the major ideas in the field, and in particular methods of specifying and fitting models, and estimating the...

Computational Systems Biology
  • Language: en
  • Pages: 421

Computational Systems Biology

  • Type: Book
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  • Published: 2005-11-10
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  • Publisher: Elsevier

Systems Biology is concerned with the quantitative study of complex biosystems at the molecular, cellular, tissue, and systems scales. Its focus is on the function of the system as a whole, rather than on individual parts. This exciting new arena applies mathematical modeling and engineering methods to the study of biological systems. This book is the first of its kind to focus on the newly emerging field of systems biology with an emphasis on computational approaches. The work covers new concepts, methods for information storage, mining and knowledge extraction, reverse engineering of gene and metabolic networks, as well as modelling and simulation of multi-cellular systems. Central themes include strategies for predicting biological properties and methods for elucidating structure-function relationships.

Systems Modeling: Approaches and Applications - Volume II
  • Language: en
  • Pages: 333
Cell and Molecular Biology for Non-Biologists
  • Language: en
  • Pages: 132

Cell and Molecular Biology for Non-Biologists

This book introduces the basics of cellular and molecular biology on a basic level including detailed explanations and examples. It lays the foundation for a systematic understanding of biology, which is essential in order to handle big data in biomedical research. Comprehension of what is measured, how it is measured and how to interpret results is a precondition for the development of novel therapies against diseases.Interdisciplinary research benefits from versatile approaches to generate and test hypotheses, which may lead to new discoveries. Therefore, it requires a new generation of biologists from diverse backgrounds - and they need this introduction.This book helps students and experts from e.g. computer science, informatics, mathematics, physics, and related fields or even if you are in sales and marketing and want to have a better understanding of the biology behind certain products.

Advances in methods and tools for multi-omics data analysis
  • Language: en
  • Pages: 184