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Meta-analysis and Combining Information in Genetics and Genomics, Guerra


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Цена: 11482.00р.
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Автор: Guerra
Название:  Meta-analysis and Combining Information in Genetics and Genomics
ISBN: 9781138116115
Издательство: Taylor&Francis
Классификация:



ISBN-10: 1138116114
Обложка/Формат: Paperback
Страницы: 360
Вес: 0.67 кг.
Дата издания: 14.06.2017
Серия: Chapman & hall/crc computational biology series
Язык: English
Иллюстрации: 31 tables, black and white; 55 illustrations, black and white
Размер: 235 x 159
Читательская аудитория: Professional & vocational
Ключевые слова: Genetics (non-medical), MATHEMATICS / Probability & Statistics / General
Основная тема: Genetics
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Novel Techniques for Analyzing and Combining Data from Modern Biological Studies
Broadens the Traditional Definition of Meta-Analysis

With the diversity of data and meta-data now available, there is increased interest in analyzing multiple studies beyond statistical approaches of formal meta-analysis. Covering an extensive range of quantitative information combination methods, Meta-analysis and Combining Information in Genetics and Genomics looks at how to analyze multiple studies from a broad perspective.

After presenting the basic ideas and tools of meta-analysis, the book addresses the combination of similar data types: genotype data from genome-wide linkage scans and data derived from microarray gene expression experiments. The expert contributors show how some data combination problems can arise even within the same basic framework and offer solutions to these problems. They also discuss the combined analysis of different data types, giving readers an opportunity to see data combination approaches in action across a wide variety of genome-scale investigations.

As heterogeneous data sets become more common, biological understanding will be significantly aided by jointly analyzing such data using fundamentally sound statistical methodology. This book provides many novel techniques for analyzing data from modern biological studies that involve multiple data sets, either of the same type or multiple data sources.




Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists

Автор: Natasa Przulj
Название: Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists
ISBN: 110842175X ISBN-13(EAN): 9781108421751
Издательство: Cambridge Academ
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Цена: 14254.00 р.
Наличие на складе: Поставка под заказ.

Описание: The increased and widespread availability of large network data resources in recent years has resulted in the increased need for effective methods for the analysis of these networks. The challenge is to detect patterns that provide a better understanding of the data. However, this is not a straight forward task because of the size of the data sets and the computer power required for the analyses. The solution is to devise methods for approximately answering the questions posed, and these methods will vary depending on the data sets under scrutiny. This cutting-edge text introduces graph and network theory, cluster analysis and machine learning, before discussing the thought processes and creativity involved in the analysis of large-scale biological and medical data sets, using a wide range of real-life examples. Bringing together leading experts, this inter-disciplinary text provides an ideal introduction to and insight into the field of network data analysis.

Genetic Association Studies: Background, Conduct, Analysis, Interpretation

Автор: Mehmet Tevfik Dorak
Название: Genetic Association Studies: Background, Conduct, Analysis, Interpretation
ISBN: 0815344635 ISBN-13(EAN): 9780815344636
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: Genetic Association Studies is designed for students of public health, epidemiology, and the health sciences, covering the main principles of molecular genetics, population genetics, medical genetics, epidemiology and statistics. It presents a balanced view of genetic associations with coverage of candidate gene studies as well as genome-wide association studies. All aspects of a genetic association study are included, from the lab to analysis and interpretation of results, but also bioinformatics approaches to causality assessment. The role of the environment in genetic disease is also highlighted. Genetic Association Studies will enable readers to understand and critique genetic association studies and set them on the way to designing, executing, analyzing, interpreting, and reporting their own.

Handbook of Meta-Analysis in Ecology and Evolution

Автор: Koricheva Julia
Название: Handbook of Meta-Analysis in Ecology and Evolution
ISBN: 0691137293 ISBN-13(EAN): 9780691137292
Издательство: Wiley
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Цена: 11880.00 р.
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Описание: "Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management. Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation Brings together experts from a broad range of fields Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species Helps you choose the right software Draws on numerous examples based on real biological datasets "--

Assessing the Hazard of Metals and Inorganic Metal Substances in Aquatic and Terrestrial Systems

Название: Assessing the Hazard of Metals and Inorganic Metal Substances in Aquatic and Terrestrial Systems
ISBN: 036738955X ISBN-13(EAN): 9780367389550
Издательство: Taylor&Francis
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Цена: 10104.00 р.
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Описание:

Current procedures used for hazard identification and classification are based on persistence, bioaccumulation, and toxicity measurements. Assessing the Hazard of Metals and Inorganic Metal Substances in Aquatic and Terrestrial Systems provides the basis for improvements to the current model for hazard assessment. The book reviews the scientific underpinnings of the use of persistence as applied to metals, including bioavailability, and the use of bioaccumulation to evaluate aquatic species and aquatic-linked food chains. It also examines toxicity procedures as used within PBT approaches and measurements for metals in terrestrial ecosystems.

The book brings together a multidisciplinary and international group of scientists, managers, and policy makers from Australia, Belgium, Canada, Germany, the Netherlands, the United Kingdom, and the United States to discuss various means for assessing the environmental hazard posed by metals and inorganic metal substances. The contributors include representatives from regulatory and nonregulatory government agencies, academia, industry, environmental groups, and consulting firms involved in assessment, management, and basic research of metals and metal substances. They provide a focused discussion of the fate and effects of metals in the environment, incorporating important advances developed over the past decade.

Diagnostic Meta-Analysis

Автор: Giuseppe Biondi-Zoccai
Название: Diagnostic Meta-Analysis
ISBN: 3030076911 ISBN-13(EAN): 9783030076917
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book is the first exclusively devoted to the systematic synthesis of diagnostic test accuracy studies. It builds upon the major recent developments in reporting standards, search methods, and, in particular, statistical tools specifically devoted to diagnostic studies. In addition, it borrows extensively from the latest advances in systematic reviews and meta-analyses of intervention studies. After a section dedicated to methods for designing reviews, synthesizing evidence and appraising inconsistency in research, the application of these approaches is demonstrated in the context of case studies from various clinical disciplines. Diagnosis is central in medical decision-making, and in many other fields of human endeavor, such as education and psychology. The plurality of sources of evidence on diagnostic test accuracy poses a huge challenge for practitioners and researchers, as do the multiple dimensions of evidence validity, which include sensitivity, specificity, predictive values, and likelihood ratios. This book offers an invaluable resource for anyone aiming to improve decision-making processes in diagnosis, classification or risk prognostication, from epidemiologists to biostatisticians, radiologists, laboratory physicians and graduate students, as any physician interested in refining his methodological skills in clinical diagnosis.

Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists

Автор: Natasa Przulj
Название: Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists
ISBN: 1108432239 ISBN-13(EAN): 9781108432238
Издательство: Cambridge Academ
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Цена: 7762.00 р.
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Описание: Bringing together leading experts in the field of network data analysis, this text introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning. Using real-world biological and medical examples, applications of these theories are discussed and creative thinking is encouraged in the analysis of such complex network data sets.

Information Theory And Evolution (2Nd Edition)

Автор: Avery John Scales
Название: Information Theory And Evolution (2Nd Edition)
ISBN: 9814401226 ISBN-13(EAN): 9789814401227
Издательство: World Scientific Publishing
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Цена: 11088.00 р.
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Описание: Information Theory and Evolution discusses the phenomenon of life, including its origin and evolution (and also human cultural evolution), against the background of thermodynamics, statistical mechanics, and information theory. Among the central themes is the seeming contradiction between the second law of thermodynamics and the high degree of order and complexity produced by living systems. This paradox has its resolution in the information content of the Gibbs free energy that enters the biosphere from outside sources, as the author will show. The role of information in human cultural evolution is another focus of the book.The first edition of Information Theory and Evolution made a strong impact on thought in the field by bringing together results from many disciplines. The new second edition offers updated results based on reports of important new research in several areas, including exciting new studies of the human mitochondrial and Y-chromosomal DNA. Another extensive discussion featured in the second edition is contained in a new appendix devoted to the relationship of entropy and Gibbs free energy to economics. This appendix includes a review of the ideas of Alfred Lotka, Frederick Soddy, Nicholas Georgiescu-Roegen and Herman E. Daly, and discusses the relevance of these ideas to the current economic crisis.The new edition discusses current research on the origin of life, the distinction between thermodynamic information and cybernetic information, new DNA research and human prehistory, developments in current information technology, and the relationship between entropy and economics.

Methane Emissions from Unique Wetlands in China: Case Studies, Meta Analyses and Modelling

Автор: Huai Chen, Ning Wu, Changhui Peng, Yanfen Wang
Название: Methane Emissions from Unique Wetlands in China: Case Studies, Meta Analyses and Modelling
ISBN: 3110300214 ISBN-13(EAN): 9783110300215
Издательство: Walter de Gruyter
Цена: 29744.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Methane Emissions from Unique Wetlands in China: Case Studies, Meta Analyses and Modelling is a landmark volume in the development of studies about methane emission from wetlands. Although there are books about methane emissions from rice paddies, natural wetlands and reservoirs, this book is the first one that provides information about methane emission from wetlands in China. Moreover, the book picks up very unique wetlands, alpine wetlands on the eastern edge of the Qinghai-Tibetan Plateau, and Three Gorges Reservoir (the world's largest hydroelectric reservoir) as cases to study methane emissions. It reviews and meta-analyses methane emissions from rice paddies, natural wetlands and lakes in China during the past twenty years. Furthermore, this book acts as bridge to connect microbial ecology and modelling: it both describes methane-producing bacteria dynamics and methane emission modelling.

A Field Guide to a New Meta-Field: Bridging the Humanities-Neurosciences Divide

Автор: Stafford Barbara Maria
Название: A Field Guide to a New Meta-Field: Bridging the Humanities-Neurosciences Divide
ISBN: 0226770559 ISBN-13(EAN): 9780226770550
Издательство: Wiley
Цена: 4910.00 р.
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Описание: Marshals a distinguished group of thinkers to forge a dialogue among the emerging brain sciences, the liberal arts, and social sciences. Demonstrating how formerly divided fields are converging around shared issues, this title maps a cross-disciplinary adventure.

Topological data analysis for genomics and evolution

Автор: Rabadan, Raul (columbia University, New York) Blumberg, Andrew J. (university Of Texas, Austin)
Название: Topological data analysis for genomics and evolution
ISBN: 1107159547 ISBN-13(EAN): 9781107159549
Издательство: Cambridge Academ
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Цена: 7286.00 р.
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Описание: Algebraic topology is particularly suited for the analysis of high dimensional large data sets, including those in modern biology. The book introduces geometric and topological methods, including statistics, as well as applications to biology - including cancer genetics, single cell studies and reconstructing evolutionary relationships from genomic data.


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