Modelling, Analysis and Optimization of Biosystems PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Modelling, Analysis and Optimization of Biosystems PDF full book. Access full book title Modelling, Analysis and Optimization of Biosystems by Werner Krabs. Download full books in PDF and EPUB format.
Author: Werner Krabs Publisher: Springer Science & Business Media ISBN: 3540714537 Category : Mathematics Languages : en Pages : 210
Book Description
In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems.
Author: Werner Krabs Publisher: Springer Science & Business Media ISBN: 3540714537 Category : Mathematics Languages : en Pages : 210
Book Description
In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems.
Author: Werner Krabs Publisher: Springer ISBN: 9783540836575 Category : Mathematics Languages : en Pages : 203
Book Description
In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems.
Author: Noor Ahmad Shaik Publisher: Springer ISBN: 3030026345 Category : Science Languages : en Pages : 410
Book Description
Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it mostly focuses on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes. Unlike other bioinformatics books which are mostly theoretical, this book provides practical examples for the readers on state-of-the-art open source tools to solve biological problems. Flow charts of experiments, graphical illustrations, and mock data are included for quick reference. Volume I is therefore an ideal companion for students and early stage professionals wishing to master this blooming field.
Author: Roderick Melnik Publisher: Springer Science & Business Media ISBN: 1461453887 Category : Mathematics Languages : en Pages : 248
Book Description
The volume presents a selection of in-depth studies and state-of-the-art surveys of several challenging topics that are at the forefront of modern applied mathematics, mathematical modeling, and computational science. These three areas represent the foundation upon which the methodology of mathematical modeling and computational experiment is built as a ubiquitous tool in all areas of mathematical applications. This book covers both fundamental and applied research, ranging from studies of elliptic curves over finite fields with their applications to cryptography, to dynamic blocking problems, to random matrix theory with its innovative applications. The book provides the reader with state-of-the-art achievements in the development and application of new theories at the interface of applied mathematics, modeling, and computational science. This book aims at fostering interdisciplinary collaborations required to meet the modern challenges of applied mathematics, modeling, and computational science. At the same time, the contributions combine rigorous mathematical and computational procedures and examples from applications ranging from engineering to life sciences, providing a rich ground for graduate student projects.
Author: Kazuyuki Shimizu Publisher: Bentham Science Publishers ISBN: 1681080869 Category : Science Languages : en Pages : 343
Book Description
An understanding of biological systems at cellular and molecular levels helps researchers to model cellular behavior in different experimental conditions. This, in turn, can lead to insights about the influence of cell culture environment and the effect of knockout gene research when studying mutations that affect specific metabolic pathways. A systems biology approach, therefore, allows researchers to simulate experimental observations in order to predict outcomes at the cellular level. Fundamentals of Systems Analysis and Modeling of Biosystems and Metabolism presents the basic concepts required for a systems biology approach towards cellular modeling. The book is intended as a primer for systems biology and biomedical engineering graduates and researchers. The text introduces readers to concepts related to cellular metabolism and its regulation, (enzymatic regulation and transcriptional regulation) which are also incorporated into a main metabolic model of a cell. The book also has chapters dedicated to identifying and incorporating steady-state and dynamic characteristics when considering a biological model for a computer simulation. Readers will be able to (1) understand the basis of systems analysis towards creating appropriate biological models and simulations, (2) develop useful kinetic models based on cellular transport phenomena and metabolic regulation, (3) understand how to simulate a cell growth phenotype, and analyze it with experimental data.
Author: Paola Lecca Publisher: Springer Nature ISBN: 3030412555 Category : Medical Languages : en Pages : 90
Book Description
This richly illustrated book presents the objectives of, and the latest techniques for, the identifiability analysis and standard and robust regression analysis of complex dynamical models. The book first provides a definition of complexity in dynamic systems by introducing readers to the concepts of system size, density of interactions, stiff dynamics, and hybrid nature of determination. In turn, it presents the mathematical foundations of and algorithmic procedures for model structural and practical identifiability analysis, multilinear and non-linear regression analysis, and best predictor selection. Although the main fields of application discussed in the book are biochemistry and systems biology, the methodologies described can also be employed in other disciplines such as physics and the environmental sciences. Readers will learn how to deal with problems such as determining the identifiability conditions, searching for an identifiable model, and conducting their own regression analysis and diagnostics without supervision. Featuring a wealth of real-world examples, exercises, and codes in R, the book addresses the needs of doctoral students and researchers in bioinformatics, bioengineering, systems biology, biophysics, biochemistry, the environmental sciences and experimental physics. Readers should be familiar with the fundamentals of probability and statistics (as provided in first-year university courses) and a basic grasp of R.
Author: Ahindra Nag Publisher: McGraw Hill Professional ISBN: 0071606297 Category : Technology & Engineering Languages : en Pages : 545
Book Description
Maximize productivity while minimizing environmental impact Develop sustainable products, energy sources, and processes using the concepts and methods contained in this interdisciplinary resource. Biosystems Engineering discusses how to effectively merge solid design techniques with biology and the applied sciences. Featuring chapters by experts in each field, this authoritative guide explains how to analyze genetic data, design ecosystem models, implement conservation strategies, harness biofuels, and ensure food safety. Full coverage of transgenetic wood production, package engineering, supercritical fluid extraction, and agricultural land management is included. Discover how to: Use microarray technology to classify genes and construct databases Build mathematical models and computer simulations of ecosystems Create bio-oils and carbon-neutral transportation fuels using pyrolisis Synthesize biodiesel and ethanol from vegetable oil and animal fat Purify and enrich biotechnological products with bioseparation Develop modified woods and herbicide-resistant crops using transgenetics Extract antioxidants, supercritical fluids, and bioregulators from plants Deploy ecologically sound fertilizing, composting, and harvesting methods
Author: Cedric Lhoussaine Publisher: John Wiley & Sons ISBN: 1394229070 Category : Computers Languages : en Pages : 404
Book Description
Systems Biology is an approach to biology that involves understanding the complexity of interactions among biological entities within a systemic whole. The goal is to understand the emergence of physiological or functional properties. Symbolic Approaches to Modeling and Analysis of Biological Systems presents contributions of formal methods from computer science for modeling the dynamics of biological systems. It deals more specifically with symbolic methods, i.e. methods that can establish the qualitative properties of models. This book presents different approaches related to semantics, language, modeling and their link with data, and allows us to examine the fundamental problems and challenges that biological systems are facing. The first part of the book presents works that rely on various available data to build models, while the second part gathers contributions surrounding issues of semantics and formal methods.
Author: Victor A. Bernstam Publisher: CRC Press ISBN: 1498710611 Category : Medical Languages : en Pages : 561
Book Description
Pocket Guide to Gene Level Diagnostics in Clinical Practice is an abbreviated, pocket-size, quick-reference guide that provides a point-by-point synopsis of the vast wealth of information contained in CRC Handbook of Gene Level Diagnostics in Clinical Practice. All sections and subsections in the Pocket Guide are cross-referenced to corresponding pages in the Handbook. The book works well on its own as a quick reference, but also can be used in conjunction with the larger Handbook for detailed coverage and references to specific information. Pocket Guide to Gene Level Diagnostics in Clinical Practice also includes extensive supplements featuring material not included in the Handbook. These are intended to provide an up-dated, practical source of information useful to anyone involved in molecular diagnostic research and/or service. Supplements are cross-referenced to the main text of the Pocket Guide, that complement and enhance the material covered. Pocket Guide to Gene Level Diagnostics in Clinical Practice will be a handy reference for professionals and students in pathology, biotechnology, biology, and medicine.
Author: Joaquim R. R. A. Martins Publisher: Cambridge University Press ISBN: 110898861X Category : Mathematics Languages : en Pages : 653
Book Description
Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-semester graduate course on optimization in aerospace, civil, mechanical, electrical, and chemical engineering departments.
Author: Werner Krabs
Author: Werner Krabs
Author: Werner Krabs
Author: Noor Ahmad Shaik
Author: Roderick Melnik
Author: Kazuyuki Shimizu
Author: Paola Lecca
Author: Ahindra Nag
Author: Cedric Lhoussaine
Author: Victor A. Bernstam
Author: Joaquim R. R. A. Martins