| 書目名稱 | The Fundamentals of Modern Statistical Genetics | | 編輯 | Nan M. Laird,Christoph Lange | | 視頻video | http://file.papertrans.cn/911/910061/910061.mp4 | | 概述 | Provides cutting edge coverage of current gene mapping approaches grounded in a traditional statistical genetics framework, with emphasis on association studies Provides exercises and solutions to rei | | 叢書名稱 | Statistics for Biology and Health | | 圖書封面 |  | | 描述 | 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. | | 出版日期 | Textbook 2011 | | 關鍵詞 | Gene Mapping; Genome Wide Association Studies; Statistical Genetics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-7338-2 | | isbn_softcover | 978-1-4614-2775-9 | | isbn_ebook | 978-1-4419-7338-2Series ISSN 1431-8776 Series E-ISSN 2197-5671 | | issn_series | 1431-8776 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines |
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