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Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. The Fundamentals of Modern Statistical Genetics | Nan M. Laird (u. a.) | Taschenbuch | Statistics for Biology and Health | xiv | Englisch | 2013 | Springer | EAN 9781461427759 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes.All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis.Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders.The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology.A background in intermediate level statistical methods is required.The authors include fewmathematical derivations, and the exercises provide problems for students with a broad range of skill levels.No background in genetics is assumed.
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Idioma: Inglés
Publicado por Springer New York Jan 2013, 2013
ISBN 10: 1461427754 ISBN 13: 9781461427759
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 128,39
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes.All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis.Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders.The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology.A background in intermediate level statistical methods is required.The authors include fewmathematical derivations, and the exercises provide problems for students with a broad range of skill levels.No background in genetics is assumed. 240 pp. Englisch.
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides cutting edge coverage of current gene mapping approaches grounded in a traditional statistical genetics framework, with emphasis on association studies Provides exercises and solutions to reinforce basic concepts for students at all levels Rigorous.
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Añadir al carritoCondición: New. Print on Demand pp. 240.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 240.
Idioma: Inglés
Publicado por Springer, Springer Jan 2013, 2013
ISBN 10: 1461427754 ISBN 13: 9781461427759
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 128,39
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel's first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders.The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 240 pp. Englisch.