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- ÉditeurSpringer
- Date d'édition2016
- ISBN 10 1493949527
- ISBN 13 9781493949526
- ReliureBroché
- Nombre de pages352
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Design, Analysis, and Interpretation of Genome-wide Association Scans
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Design, Analysis, and Interpretation of Genome-Wide Association Scans (Statistics for Biology and Health)
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Design, Analysis, and Interpretation of Genome-Wide Association Scans (Statistics for Biology and Health)
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Design, Analysis, and Interpretation of Genome-Wide Association Scans (Statistics for Biology and Health) by Stram, Daniel O. O. [Paperback ]
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Design, Analysis, and Interpretation of Genome-Wide Association Scans
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Design, Analysis, and Interpretation of Genome-wide Association Scans
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Design, Analysis, and Interpretation of Genome-Wide Association Scans
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Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. Emphasis on statistical concepts that apply to the problem of finding disease associations irrespective of the technology ensures its future applications. The author includes current bioinformatics tools while outlining the tools that will be required for use with extensive databases from future large scale sequencing projects. The author includes current bioinformatics tools while outlining additional issues and needs arising from the extensive databases from future large scale sequencing projects. 352 pp. Englisch. N° de réf. du vendeur 9781493949526
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Design, Analysis, and Interpretation of Genome-Wide Association Scans
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Description du livre Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ushers in future with GWAS studies as a more routine part of clinical trials of drugs, drug combination therapy and a part of the general goal of seeking personalized medicineDoes not require previous work in genetics or genetic epidemiology. N° de réf. du vendeur 447956117
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Design, Analysis, and Interpretation of Genome-Wide Association Scans (Statistics for Biology and Health)
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ISBN 10 : 1493949527
ISBN 13 : 9781493949526
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Design, Analysis, and Interpretation of Genome-Wide Association Scans
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Springer New York
(2016)
ISBN 10 : 1493949527
ISBN 13 : 9781493949526
Neuf
Taschenbuch
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Description du livre Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Emphasis on statistical concepts that apply to the problem of finding disease associations irrespective of the technology ensures its future applications. The author includes current bioinformatics tools while outlining the tools that will be required for use with extensive databases from future large scale sequencing projects. The author includes current bioinformatics tools while outlining additional issues and needs arising from the extensive databases from future large scale sequencing projects. N° de réf. du vendeur 9781493949526
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