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其次对本书进行说明如下,内容分两部分一个是书一个是程序和数据,前者上传资料里面没有程序故也算有所更新,希望大家能更好的学习此书.
再次对书进行说明
【书名】 Genetic Analysis of Complex Traits Using SAS
【作者】 Edited by Arnold M. Sexton
【出版社】Books by Users Press; 1 edition (November 10, 2004)
【版本.出版日期】1st printing, November 2004
【文件格式】PDF
【文件大小】压缩3.79解压后5.66
【页数】312p
【ISBN出版号】1590475070
【资料类别】遗传统计学，QTL SNPs
【市面定价】$49.95
【扫描版还是影印版】 影印版高清晰
【是否缺页】完整
【关键词】 Res Log Likelihood, Monte Carlo, Fit Statistics, Gene Expression Profiling Using Mixed Models, Bayesian Mapping Methodology, Dimensions Covariance Parameters, More Estimation of Genetic Parameters
【目录】
Chapter 1 Overview 1
PART 1 Classical Quantitative Genetics
Chapter 2 Estimation of Genetic Variances and Covariances by Restricted Maximum Likelihood Using PROC MIXED
Chapter 3 More Estimation of Genetic Parameters
Chapter 4 Genetic Selection
Chapter 5 Genotype-by-Environment Interaction
Chapter 6 Growth and Lactation Curves
Chapter 7 Empirical Bayes Approaches to Mixed Model Inference in Quantitative Genetics
PART 2 Molecular Genetics
Chapter 8 Gene Frequencies and Linkage Disequilibrium
Chapter 9 The Extended Sib-Pair Method for Mapping QTL
Chapter 10 Bayesian Mapping Methodology
Chapter 11 Gene Expression Profiling Using Mixed Models
【编辑评论】
Editorial Reviews
Review
This book discusses important approaches for AMMI modeling of genotype-environment interactions, the analysis of longitudinal traits, and empirical Bayes estimates. -- Bruce Walsh
This book is a very welcome addition to the toolbox of anyone using the powerful SAS System to analyze the genetic basis of complex traits. Both classic and Bayesian approaches are discussed, with a focus on genetic parameter estimation and gene mapping. An especially nice feature, and indeed worth the price of the book by themselves, are chapters discussing important, but underappreciated, approaches for AMMI modeling of genotype-environment interactions, the analysis of longitudinal traits, and empirical Bayes estimates. --Bruce Walsh
Product Description
Arnold Saxton, Ph.D., the editor of this volume, is a professor of animal science at the University of Tennessee, Knoxville. During years of research and teaching in statistics and genetics, Dr. Saxton recognized the need for a how-to introduction to SAS computer analysis for complex-trait genetics. He assembled 16 coauthors from around the world to create this unique compilation. Example-rich and experiment-driven, Genetic Analysis of Complex Traits Using SAS demonstrates how you can use SAS and SAS/Genetics to extract answers from your quantitative and molecular genetics data. The book guides you through the mix of genetic, statistical, and SAS skills that are needed, enabling you to apply what you've learned to your own experimental data. You'll find this an invaluable resource whether you are a researcher, scientist, graduate student, bioinformatician, or statistician--or any other SAS user interested in joining the highly active and exciting field of genetic analysis.
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