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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.
Systems Biology
Growth in the pharmaceutical market has slowed down – almost to a standstill. One reason is that governments and other payers are cutting costs in a faltering world economy. But a more fundamental problem is the failure of major companies to discover, develop and market new drugs. Major drugs losing patent protection or being withdrawn from the market are simply not being replaced by new therapies – the pharmaceutical market model is no longer functioning effectively and most pharmaceutical companies are failing to produce the innovation needed for success. This multi-authored new book looks at a vital strategy which can bring innovation to a market in need of new ideas and new products:...
Systems Biology
This advanced textbook is tailored for an introductory course in Systems Biology and is well-suited for biologists as well as engineers and computer scientists. It comes with student-friendly reading lists and a companion website featuring a short exam prep version of the book and educational modeling programs. The text is written in an easily accessible style and includes numerous worked examples and study questions in each chapter. For this edition, a section on medical systems biology has been included.
Systems Biology in Practice
Presenting the main concepts, this book leads students as well as advanced researchers from different disciplines to an understanding of current ideas in the complex field of comprehensive experimental investigation of biological objects, analysis of data, development of models, simulation, and hypothesis generation. It provides readers with guidance on how a specific complex biological question may be tackled: How to formulate questions that can be answered Which experiments to perform Where to find information in databases and on the Internet What kinds of models are appropriate How to use simulation tools What can be learned from the comparison of experimental data and modeling results How to make testable predictions The authors demonstrate how mathematical concepts can illuminate the principles underlying biology at a genetic, molecular, cellular and even organism level, and how to use mathematical tools for analysis and prediction.
Systems Biology
This book explores Systems Biology as the understanding of biological network behaviors, and in particular their dynamic aspects, which requires the utilization of mathematical modeling tightly linked to experiment. A variety of approaches are discussed here: the identification and validation of networks, the creation of appropriate datasets, the development of tools for data acquisition and software development, and the use of modeling and simulation software in close concert with experiment.
Computational Biology
This volume covers techniques in computational biology and their applications in oncology. It details advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, and image and pattern analysis applied to cancer research.
The Noughties Brought to Book
Why music doesn't add up, what The Simpsons can teach us about science, whether Juana la Loca wasn't crazy after all, and what's behind the gaseous veil of Saturn's moon Titan ' these are just some of the questions addressed in the more than 70 reviews and essay reviews from the years 2000 to 2009 collected in this volume. They cover books about science, ranging from the academic to the popularized kind, but there are also books about cultural topics and even a few novels scattered in for good measure. Most of these books reviewed haven't found a massive amount of attention, although some of them should have, at least in the reviewer's opinion. And even if the book under review wasn't all that good, the format of an essay review allows the author to have a go at presenting the subject matter his own way. All in all, a reflection of what happened during the noughties in the worlds of science and culture, and off the beaten track.
Cancer Models
Cancer research, like research on other diseases, highly depends on representative and reliable model systems. In the Research Topic “Cancer Models”, we collected original papers and review articles addressing the topic of tumor modeling from molecular biology, biochemistry, microorganisms, cells and organoids, fishes, animals and xenografts, up to computational cancer models and patient data analysis. This representative eBook describes that there is not a single molecular defined tumor but rather a heterogenic and highly variable complex of different individual diseases. This is what makes research on cancer so difficult, expensive, and explains the broad number of models needed for re...
Medical Advancements in Aging and Regenerative Technologies: Clinical Tools and Applications
"This book translates basic science discoveries into regenerative therapies with the application of clinical tool in aging and tissue regeneration"--
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...
