Design, Analysis, and Interpretation of Genome-Wide Association Scans
- 種類:
- 電子ブック
- 責任表示:
- by Daniel O. Stram
- 出版情報:
- New York, NY : Springer New York : Imprint: Springer, 2014
- 著者名:
- シリーズ名:
- Statistics for Biology and Health ;
- ISBN:
- 9781461494430 [1461494435]
- 注記:
- This book presents the statistical aspects of designing, analyzing and interpreting the results of genome-wide association scans (GWAS studies) for genetic causes of disease using unrelated subjects. Particular detail is given to the practical aspects of employing the bioinformatics and data handling methods necessary to prepare data for statistical analysis. The goal in writing this book is to give statisticians, epidemiologists, and students in these fields the tools to design a powerful genome-wide study based on current technology. The other part of this is showing readers how to conduct analysis of the created study. Design and Analysis of Genome-Wide Association Studies provides a compendium of well-established statistical methods based upon single SNP associations. It also provides an introduction to more advanced statistical methods and issues. Knowing that technology, for instance large scale SNP arrays, is quickly changing, this text has significant lessons for future use with sequencing data. Empha
- ローカル注記:
- 学内専用E-BOOKS (local access only)
類似資料:
|
Springer-Verlag Berlin Heidelberg | |
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Springer New York : Imprint: Springer |
Birkhäuser Boston |
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Springer International Publishing : Imprint: Springer |
Springer Science+Business Media, Inc. |
|
Springer International Publishing : Imprint: Springer |
Springer New York : Imprint: Springer |
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Springer Science+Business Media, LLC |
Springer New York : Imprint: Springer |
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Springer New York : Imprint: Birkhäuser |
