Read The Statistics of Gene Mapping (Statistics for Biology and Health) by David Siegmund, Benjamin Yakir Online
Read [David Siegmund, Benjamin Yakir Book] * The Statistics of Gene Mapping (Statistics for Biology and Health) Online * PDF eBook or Kindle ePUB free. The Statistics of Gene Mapping (Statistics for Biology and Health) 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.. This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of
| Title | : | The Statistics of Gene Mapping (Statistics for Biology and Health) |
| Author | : | |
| Rating | : | 4.92 (729 Votes) |
| Asin | : | 038749684X |
| Format Type | : | paperback |
| Number of Pages | : | 334 Pages |
| Publish Date | : | 2017-06-21 |
| Language | : | English |
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.. 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
50 (1), 2008)"This book presents an excellent introduction to the basic statistical principles used in gene mapping. From the reviews:"The Statistics of Gene Mappingis a welcome addition to the statistical genetics literature, that in fact includes a very small number of textbooks. 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. The exercises at the end of the chapters will provide a useful pedagogical tool, with their mix of computer implementation and conceptual questions. I recommend the book to any graduate
Marginal treatment The Statistics of Gene Mapping leaves a great deal to be desired. The authors are not very explicit about how they arrive at many of the equations they use often not showing any derivations whatsoever. They also provide a great deal of code in R with very little explanation of what the code does. For a much better treatment of quantitative genetics there are two excellent sources: "Genetics and Analysis of Quantitative Traits," by Michael Lynch and Bruce Walsh and "Introduction to Quantitative Genetics," by Falconer and Mackay. Both are far superior to this.. Michael R. Chernick said another great book by Siegmund. David Siegmund is a famous probabilist who is both a great lecturer and writer. I personally audited his advanced probability course at Stanford. He coauthored a book on optimal stopping with Herb Robbins and has written other fine books on sequential analysis and repeated significance testing. In recent years he as well as Brad Efron and other Stanford and Berkeley statistics professors has studied the mathematics, probability theory and statistics associated with human genetics and microarray data. This book presents the theory and application of the appropriate probabilistic methods. Anyone with a se
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