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.3.2 (including the programs ameiosis.reca and across.reca) introduces the concept of recombination, which plays a very important role throughout the book. It can be read inde- pendently of Sect. 3.1. Sections 3.3 and 3.4 are important for theanbsp;...
Title | : | The Statistics of Gene Mapping |
Author | : | David Siegmund, Benjamin Yakir |
Publisher | : | Springer Science & Business Media - 2007-05-27 |
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