Isbn: 9780123751423 - analysis of complex disease association studies: a practical guide (13 risultati)

Hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 9-10 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Hardcover. Condizione: Brand New. 1st edition. 331 pages. 9.00x6.00x1.00 inches. In Stock.

Hardcover. Condizione: new. Hardcover. Analysis of Complex Disease Association Studies Provides researchers with advanced biological knowledge who are entering the field of genome-wide association studies with the groundwork to apply statistical analysis tools effectively. This book also provides readers with best practice for getting started (design), analyzing, and interpreting data according to their research interests. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Condizione: New. Provides researchers with advanced biological knowledge who are entering the field of genome-wide association studies with the groundwork to apply statistical analysis tools effectively. This book also provides readers with best practice for getting started (design), analyzing, and interpreting data according to their research interests. Editor(s): Zeggini, Eleftheria; Morris, Andrew. Num Pages: 340 pages, Illustrated. BIC Classification: MFN. Category: (P) Professional & Vocational. Dimension: 236 x 158 x 25. Weight in Grams: 748. . 2010. 1st Edition. hardcover. . . . .…

Hardcover. Condizione: Brand New. 1st edition. 331 pages. 9.00x6.00x1.00 inches. In Stock.

Condizione: New. Easy access to key information including advantages and disadvantage of tests for particular applications, identification of databases, languages and their capabilities, data management risks, frequently used tests Extensive list of refere.

Condizione: New. Provides researchers with advanced biological knowledge who are entering the field of genome-wide association studies with the groundwork to apply statistical analysis tools effectively. This book also provides readers with best practice for getting started (design), analyzing, and interpreting data according to their research interests. Editor(s): Zeggini, Eleftheria; Morris, Andrew. Num Pages: 340 pages, Illustrated. BIC Classification: MFN. Category: (P) Professional & Vocational. Dimension: 236 x 158 x 25. Weight in Grams: 748. . 2010. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Condizione: new. Hardcover. Analysis of Complex Disease Association Studies Provides researchers with advanced biological knowledge who are entering the field of genome-wide association studies with the groundwork to apply statistical analysis tools effectively. This book also provides readers with best practice for getting started (design), analyzing, and interpreting data according to their research interests. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -According to the National Institute of Health, a genome-wide association study is defined as any study of genetic variation across the entire human genome that is designed to identify genetic associations with observable traits (such as blood pressure or weight), or the presence or absence of a disease or condition. Whole genome information, when combined with clinical and other phenotype data, offers the potential for increased understanding of basic biological processes affecting human health, improvement in the prediction of disease and patient care, and ultimately the realization of the promise of personalized medicine. In addition, rapid advances in understanding the patterns of human genetic variation and maturing high-throughput, cost-effective methods for genotyping are providing powerful research tools for identifying genetic variants that contribute to health and disease. This burgeoning science merges the principles of statistics and genetics studies to make sense of the vast amounts of information available with the mapping of genomes. In order to make the most of the information available, statistical tools must be tailored and translated for the analytical issues which are original to large-scale association studies. Analysis of Complex Disease Association Studies will provide researchers with advanced biological knowledge who are entering the field of genome-wide association studies with the groundwork to apply statistical analysis tools appropriately and effectively. With the use of consistent examples throughout the work, chapters will provide readers with best practice for getting started (design), analyzing, and interpreting data according to their research interests. Frequently used tests will be highlighted and a critical analysis of the advantages and disadvantage complimented by case studies for each will provide readers with the information they need to make the right choice for their research. Additional tools including links to analysis tools, tutorials, and references will be available electronically to ensure the latest information is available. 340 pp. Englisch.…

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - According to the National Institute of Health, a genome-wide association study is defined as any study of genetic variation across the entire human genome that is designed to identify genetic associations with observable traits (such as blood pressure or weight), or the presence or absence of a disease or condition. Whole genome information, when combined with clinical and other phenotype data, offers the potential for increased understanding of basic biological processes affecting human health, improvement in the prediction of disease and patient care, and ultimately the realization of the promise of personalized medicine. In addition, rapid advances in understanding the patterns of human genetic variation and maturing high-throughput, cost-effective methods for genotyping are providing powerful research tools for identifying genetic variants that contribute to health and disease. This burgeoning science merges the principles of statistics and genetics studies to make sense of the vast amounts of information available with the mapping of genomes. In order to make the most of the information available, statistical tools must be tailored and translated for the analytical issues which are original to large-scale association studies. Analysis of Complex Disease Association Studies will provide researchers with advanced biological knowledge who are entering the field of genome-wide association studies with the groundwork to apply statistical analysis tools appropriately and effectively. With the use of consistent examples throughout the work, chapters will provide readers with best practice for getting started (design), analyzing, and interpreting data according to their research interests. Frequently used tests will be highlighted and a critical analysis of the advantages and disadvantage complimented by case studies for each will provide readers with the information they need to make the right choice for their research. Additional tools including links to analysis tools, tutorials, and references will be available electronically to ensure the latest information is available.…