The Fundamentals of Modern Statistical Genetics

出版者:Springer-Verlag New York Inc.

作者:Laird, Nan M.

页数:240

出版时间:2010-12

价格:$ 90.34

isbn号码:9781441973375

图书标签:AnalysisStatLinkageGeneticsGWASComputationalBiology

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, this 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.

用户评价

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Nice reference. 最终还是逃不过genetics的魔爪.....'(T_T)/'

Nice reference. 最终还是逃不过genetics的魔爪.....'(T_T)/'

Nice reference. 最终还是逃不过genetics的魔爪.....'(T_T)/'

Nice reference. 最终还是逃不过genetics的魔爪.....'(T_T)/'