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Titlebook: The Statistics of Gene Mapping; David Siegmund,Benjamin Yakir Book 2007 Springer-Verlag New York 2007 DNA.Genotyp.Haplotype.QTL.Statistica

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书目名称The Statistics of Gene Mapping
编辑David Siegmund,Benjamin Yakir
视频video
概述Formal statistical and computational requirements for reading the book are kept as few as seems reasonable so that the book can be understood by beginners from a variety of backgrounds.Deals with idea
丛书名称Statistics for Biology and Health
图书封面Titlebook: The Statistics of Gene Mapping;  David Siegmund,Benjamin Yakir Book 2007 Springer-Verlag New York 2007 DNA.Genotyp.Haplotype.QTL.Statistica
描述.Gene mapping is used in experimental genetics to improve the hardiness or productivity of animals or plants of agricultural value, to explore basic mechanisms of inheritance, or to study animal models of human inheritance. In human populations it is used as a first step to identify genes associated with human health and disease. This book presents a unified discussion of the statistical concepts applied in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. The development involves elementary principles of probability and statistics, which are implemented by computational tools based on the R programming language to simulate genetic experiments and evaluate statistical analyses. The viewpoint reflects the modern approach of using anonymous DNA markers distributed throughout the genome to identify regions likely to contain genes of interest. The reader is assumed to have some familiarity with probability/statistics and with elementary genetics. Important topics are reviewed in the first three chapters. The R programming language is developed in the text. Each chapter contains exercises, both theoretical and c
出版日期Book 2007
关键词DNA; Genotyp; Haplotype; QTL; Statistical genetics; genes; genetic epidemiology; genetics; genome; genotypes;
版次1
doihttps://doi.org/10.1007/978-0-387-49686-3
isbn_softcover978-1-4419-2385-1
isbn_ebook978-0-387-49686-3Series ISSN 1431-8776 Series E-ISSN 2197-5671
issn_series 1431-8776
copyrightSpringer-Verlag New York 2007
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