Condizione: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Design, Analysis, and Interpretation of Genome-Wide Association Scans | Daniel O. Stram | Taschenbuch | Statistics for Biology and Health | xv | Englisch | 2016 | Springer | EAN 9781493949526 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Revaluation Books, Exeter, Regno Unito
EUR 197,56
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 334 pages. 9.25x6.25x1.00 inches. In Stock.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 146,98
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Cancer Epidemiology Among Asian Americans | Anna H. Wu (u. a.) | Taschenbuch | xi | Englisch | 2018 | Springer | EAN 9783319822709 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 146,98
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Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319822705 ISBN 13: 9783319822709
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 160,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Cancer Epidemiology in Asian Americans is a comprehensive volume that provides the most current research on cancer etiology within this fast growing population sub-group in the United States. The book explores epidemiologic methods that are typically used in migrant studies, providing descriptive epidemiology of cancer patterns separately in Chinese, Japanese, Filipino and other Asian ethnic groups including Asian Indians, Koreans, Vietnamese, and other Southeast Asians. A major focus of the volume provides reviews of analytic risk factors for specific cancer sites including lung, colorectal, prostate, breast, liver and more. These chapters aim to explain the increases or decreases in incidence rates of various cancers upon migration, paying attention to changing risk factor prevalence, the importance of timing of exposures, and other co-factors important in the etiology of these cancers. Genetic determinants and gene-environment relationships associated with specific cancers are also discussed. This first of its kind volume that is devoted to studies of cancer in Asian Americans provides a foundation to better understanding of environmental and lifestyle causes of cancer in this group, identifying gaps in our knowledge, and potential strategies for prevention.
Lingua: Inglese
Editore: Springer International Publishing, 2016
ISBN 10: 3319411160 ISBN 13: 9783319411163
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 160,49
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Cancer Epidemiology in Asian Americans is a comprehensive volume that provides the most current research on cancer etiology within this fast growing population sub-group in the United States. The book explores epidemiologic methods that are typically used in migrant studies, providing descriptive epidemiology of cancer patterns separately in Chinese, Japanese, Filipino and other Asian ethnic groups including Asian Indians, Koreans, Vietnamese, and other Southeast Asians. A major focus of the volume provides reviews of analytic risk factors for specific cancer sites including lung, colorectal, prostate, breast, liver and more. These chapters aim to explain the increases or decreases in incidence rates of various cancers upon migration, paying attention to changing risk factor prevalence, the importance of timing of exposures, and other co-factors important in the etiology of these cancers. Genetic determinants and gene-environment relationships associated with specific cancers are also discussed. This first of its kind volume that is devoted to studies of cancer in Asian Americans provides a foundation to better understanding of environmental and lifestyle causes of cancer in this group, identifying gaps in our knowledge, and potential strategies for prevention.
Condizione: New. pp. 334.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 229,17
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Aggiungi al carrelloHardcover. Condizione: Brand New. 9.50x6.25x1.00 inches. In Stock.
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Condizione: New. pp. 292.
Da: Mispah books, Redhill, SURRE, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
Condizione: New. pp. 345.
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Aggiungi al carrelloPaperback. Condizione: New. New. book.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
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Lingua: Inglese
Editore: Springer New York Nov 2013, 2013
ISBN 10: 1461494427 ISBN 13: 9781461494423
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 139,09
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Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Springer New York Aug 2016, 2016
ISBN 10: 1493949527 ISBN 13: 9781493949526
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 139,09
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Da: moluna, Greven, Germania
EUR 118,61
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Aggiungi al carrelloCondizione: 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.