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.
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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.
Imprint | Springer-Verlag New York |
Country of origin | United States |
Series | Statistics for Biology and Health |
Release date | November 2010 |
Availability | Expected to ship within 15 - 20 working days |
First published | 2007 |
Authors | David Siegmund, Benjamin Yakir |
Dimensions | 235 x 155 x 22mm (L x W x T) |
Format | Paperback |
Pages | 334 |
Edition | Softcover reprint of hardcover 1st ed. 2007 |
ISBN-13 | 978-1-4419-2385-1 |
Barcode | 9781441923851 |
Categories | |
LSN | 1-4419-2385-3 |