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Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

The Statistics of Gene Mapping

By: David O Siegmund and Benjamin Yakir
340 pages, colour illustrations
Publisher: Springer Nature
The Statistics of Gene Mapping
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  • The Statistics of Gene Mapping ISBN: 9781441923851 Paperback Nov 2010 Not in stock: Usually dispatched within 1-2 weeks
    £99.99
    #194126
  • The Statistics of Gene Mapping ISBN: 9780387496849 Hardback Mar 2007 Not in stock: Usually dispatched within 1-2 weeks
    £129.99
    #194125
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About this book Contents Customer reviews Related titles

About this book

This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. It presents 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. Each chapter contains exercises, both theoretical and computational, some routine and others that are more challenging. The R programming language is developed in the text.

Contents

- Background in statistics
- Introduction to experimental genetics
- Fundamentals of genetics
- Testing for linkage with a single marker
- Whole genome scans: the significance level
- Statistical power and confidence regions
- Missing data and interval mapping
- Advanced topics
- Mapping qualitative traits in humans using affected sib pairs
- Admixture mapping
- Mapping complex and quantitative traits with data from human pedigrees
- Association studies
- Inferring haplotypes from genotypes and testing association

Customer Reviews

By: David O Siegmund and Benjamin Yakir
340 pages, colour illustrations
Publisher: Springer Nature
Media reviews

The Statistics of Gene Mapping...is a welcome addition to the statistical genetics literature, that in fact includes a very small number of textbooks. ...The exercises at the end of the chapters will provide a useful pedagogical tool, with their mix of computer implementation and conceptual questions. ...[This book] provides the reader with clar, concises introduction to a number of important topics and I think it will prove to be a useful teaching instrument. - Chiara Sabatti, Journal of Statistical Software, August 2007, Vol. 21

"The book is an excellent addition to the statistics-for-biology and health book series. It is also a very good textbook is statistical genetics. All statistical models and methods in the book are illustrated and simulated using R Language. [...] Overall, the book covers both classical and up-to-date important topics in statistical genetics. It is a well-written book for both researchers and graduate students in statistics, biostatistics, statistical genetics, and other related fields."
- Xianggui Qu, Technometrics, Vol. 50 (1), 2008

"This book presents an excellent introduction to the basic statistical principles used in gene mapping. [...] Computer algorithms are given [...] . There are numerous challenging problems. [...] This is a rewarding read [...] . those that work through the book will gain a deep understanding of the statistical challenges of the field. With this knowledge they would be prepared for more encyclopedic or data analytic works. I recommend the book to any graduate student who might consider contributing to the field."
- David F. Andrews, International Statistical Review, Vol. 75 (2), 2007

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