Statistical Genetics, Neale

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: 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: Daniel L. Hartl; Andrew G. Clark
Название: Principles of Population Genetics
ISBN: 0878933085 ISBN-13(EAN): 9780878933082
Издательство: Springer
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Цена: 104590.00 T
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Описание: David Lindsay was a writer of fantasy fiction who died in 1945. Interest in Lindsay has been growing steadily, and in this book, Bernard Sellin has written a comprehensive survey of Lindsay`s life and work, analysing the thematic patterns of Lindsay`s settings, plots and characters. It will be read with profit by all those who are interested both in Lindsay and in the genre of fantasy literature.

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: Lieberman
Название: BRS Biochemistry, Molecular Biology, and Genetics, 6e
ISBN: 1451175361 ISBN-13(EAN): 9781451175363
Издательство: Lippincott Williams & Wilkins
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Цена: 36730.00 T
Наличие на складе: Невозможна поставка.
Описание: BRS Biochemistry, Molecular Biology, and Genetics is an excellent aid for USMLE Step 1 preparation and for coursework in biochemistry, molecular biology, and genetics. Fully updated for its sixth edition, chapters are written in an outline format and include pedagogical features such as bolded key words, figures, tables, algorithms, and highlighted clinical correlates. USMLE-style questions and answers follow each chapter and a comprehensive exam appears at the end of the book.

Автор: Michael P. H. Stumpf, Carsten Wiuf
Название: Statistical and evolutionary analysis of biological networks
ISBN: 1848164335 ISBN-13(EAN): 9781848164338
Издательство: World Scientific Publishing
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Цена: 85530.00 T
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Описание: Explores statistical, mathematical and evolutionary theory and tools in the understanding of biological networks. This book covers metabolic, transcriptomic, protein interaction and epidemiological networks.

Автор: Datta
Название: Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry
ISBN: 3319458078 ISBN-13(EAN): 9783319458076
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book presents an overview of computational and statistical design and analysis of mass spectrometry-based proteomics, metabolomics, and lipidomics data. This contributed volume provides an introduction to the special aspects of statistical design and analysis with mass spectrometry data for the new omic sciences. The text discusses common aspects of design and analysis between and across all (or most) forms of mass spectrometry, while also providing special examples of application with the most common forms of mass spectrometry. Also covered are applications of computational mass spectrometry not only in clinical study but also in the interpretation of omics data in plant biology studies.Omics research fields are expected to revolutionize biomolecular research by the ability to simultaneously profile many compounds within either patient blood, urine, tissue, or other biological samples. Mass spectrometry is one of the key analytical techniques used in these new omic sciences. Liquid chromatography mass spectrometry, time-of-flight data, and Fourier transform mass spectrometry are but a selection of the measurement platforms available to the modern analyst. Thus in practical proteomics or metabolomics, researchers will not only be confronted with new high dimensional data types—as opposed to the familiar data structures in more classical genomics—but also with great variation between distinct types of mass spectral measurements derived from different platforms, which may complicate analyses, comparison, and interpretation of results.

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: Lamb
Название: Applied genetics of humans, animals, plants and fungi
ISBN: 1860946100 ISBN-13(EAN): 9781860946103
Издательство: World Scientific Publishing
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Цена: 130950.00 T
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Описание: Covers a range of animals, including dogs and cats as well as farm animals. This book explores and deals with the use of cord blood for therapy, pre-implantation genetic diagnosis and animal cloning. It is designed for students.

Автор: Helge Toutenburg; Shalabh
Название: Statistical Analysis of Designed Experiments, Third Edition
ISBN: 1441911472 ISBN-13(EAN): 9781441911476
Издательство: Springer
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Цена: 163040.00 T
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Описание: This textbook presents the design and analysis of experiments that comprise the aspects of classical theory for continuous response, modern procedures for categorical response, and especially for correlated categorical response.

Автор: Daniel Cremers; Bodo Rosenhahn; Alan L. Yuille; Fr
Название: Statistical and Geometrical Approaches to Visual Motion Analysis
ISBN: 3642030602 ISBN-13(EAN): 9783642030604
Издательство: Springer
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Цена: 65210.00 T
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Описание: International Dagstuhl Seminar Dagstuhl Castle July 1318 2008 Revised Papers. .

Автор: Stephen W. Scheff
Название: Fundamental Statistical Principles for the Neurobiologist
ISBN: 0128047534 ISBN-13(EAN): 9780128047538
Издательство: Elsevier Science
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Цена: 57250.00 T
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Описание:

Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with the overall purpose of explaining which statistical technique should be used in which situation. Different types of data are discussed such as how to formulate a research hypothesis, the primary types of statistical errors and statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, regression, parametric vs. nonparametric statistical tests, ANOVA, and post hoc analyses. Finally, there is a discussion on how to deal with data points that appear to be "outliers" and what to do when there is missing data, an issue that has not sufficiently been covered in literature.