The Fundamentals of Modern Statistical Genetics, Nan M. Laird; Christoph Lange

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 69870.00 T
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Malley
Название: Statistical Learning for Biomedical Data
ISBN: 0521699096 ISBN-13(EAN): 9780521699099
Издательство: Cambridge Academ
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Цена: 43290.00 T
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Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.

Автор: John Ringo
Название: Fundamental Genetics
ISBN: 0521006333 ISBN-13(EAN): 9780521006330
Издательство: Cambridge Academ
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Цена: 61240.00 T
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Описание: Fundamental Genetics is a concise textbook that explains major topics of modern genetics in 42 mini-chapters. Students will find the short, focused chapters approachable and this structure maximises flexibility for teaching. This clear, comprehensive and unique textbook provides a compact alternative for introductory genetics courses.

Автор: Robert G. Easterling
Название: Fundamentals of Statistical Experimental Design and Analysis
ISBN: 1118954637 ISBN-13(EAN): 9781118954638
Издательство: Wiley
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Цена: 64360.00 T
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Описание: Professionals in all areas business; government; the physical, life, and social sciences; engineering; medicine, etc. benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for.

Автор: Tobias, Edward S. Connor, Michael Smith, Malcolm Ferguson
Название: Essential Medical Genetics 6 ed.
ISBN: 1405169745 ISBN-13(EAN): 9781405169745
Издательство: Wiley
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Цена: 47470.00 T
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Описание: Adopted at Cambridge University Essential Medical Genetics provides students, clinicians, counsellors and scientists with the up-to-date information they need regarding the basic principles underlying medical genetics.

Автор: Rand R. Wilcox
Название: Fundamentals of Modern Statistical Methods
ISBN: 1489984704 ISBN-13(EAN): 9781489984708
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. The book includes a number of new advances and insights.

Автор: Mauro Naghettini
Название: Fundamentals of Statistical Hydrology
ISBN: 3319435604 ISBN-13(EAN): 9783319435602
Издательство: Springer
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Цена: 93160.00 T
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Описание: This textbook covers the main applications of statistical methods in hydrology. It is written for upper undergraduate and graduate students but can be used as a helpful guide for hydrologists, geographers, meteorologists and engineers. The book is very useful for teaching, as it covers the main topics of the subject and contains many worked out examples and proposed exercises. Starting from simple notions of the essential graphical examination of hydrological data, the book gives a complete account of the role that probability considerations must play during modelling, diagnosis of model fit, prediction and evaluating the uncertainty in model predictions, including the essence of Bayesian application in hydrology and statistical methods under nonstationarity.

Автор: Jorde, Lynn B. Carey, John C. Bamshad, Michael J.
Название: Medical Genetics, 5e
ISBN: 0323188354 ISBN-13(EAN): 9780323188357
Издательство: Elsevier Science
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Цена: 53050.00 T
Наличие на складе: Поставка под заказ.
Описание: Popular for its highly visual, clinical approach, Medical Genetics delivers an accessible yet thorough understanding of this active and fast-changing field. Key updates in this new edition cover the latest developments which are integrated with clinical practice to emphasize the central principles and how they apply to practice. Photographs, illustrations, and tables, along with boxes containing patient/family vignettes demonstrate clinical relevance and enhance visual impact of the material for easier and more effective learning and retention.

Includes access to the complete text and images online at studentconsult.com along with 200 additional USMLE-style questions for self-assessment. Mini-summaries, study questions, suggested reading, and a detailed glossary supplement and reinforce what you learn from the text. More than 230 photographs, illustrations, and tables, along with patient/family vignettes clarify difficult concepts and demonstrate clinical significance.

Clinical Commentary Boxes help demonstrate how the hard science of genetics has real applications to everyday patient problems and prepare you for problem-based integrated courses. The latest knowledge and research on gene identification, cancer genetics, gene testing and gene therapy, common disorders, ethical and social issues, and much more so you can keep up with current developments in genetics. Student Consult eBook version included with purchase.

This enhanced eBook experience allows access to 200 additional USMLE questions, as well as new materials (outlined above) designed to produce a more rounded learning experience.

Автор: Pierce Benjamin A
Название: Genetics Essentials. Concepts and Connections. - 3th ed.
ISBN: 1464190755 ISBN-13(EAN): 9781464190759
Издательство: Springer
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Цена: 60550.00 T
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Описание: Derived from Ben Pierce's popular and acclaimed Genetics: A Conceptual Approach, this streamlined text covers basic transmission, molecular, and population genetics.

Автор: Laird
Название: The fundamentals of modern statistical genetics
ISBN: 1441973370 ISBN-13(EAN): 9781441973375
Издательство: Springer
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Цена: 79190.00 T
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Описание: This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 184750.00 T
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Автор: Yang
Название: Introduction to Statistical Methods in Modern Genetics
ISBN: 9056991345 ISBN-13(EAN): 9789056991340
Издательство: Taylor&Francis
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Цена: 132710.00 T
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Описание: Providing the required background in genetics, this book is useful for those looking to enter this arena. It includes some of the statistical tools important in genetics applications. It contains explanations, figures, and exercise sets in each chapter.