Daniel O. Stram Design, Analysis, and Interpretation of Genome-Wide Association Scans 9781493949526

Варианты приобретения

Цена: 16769.00р.
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: Есть
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: Daniel O. Stram
Название: Design, Analysis, and Interpretation of Genome-Wide Association Scans
ISBN: 9781493949526
Издательство: Springer
Классификация:

Медицинская генетика

Вероятность и статистика

ISBN-10: 1493949527
Обложка/Формат: Paperback
Страницы: 334
Вес: 0.49 кг.
Дата издания: 23.08.2016
Серия: Statistics for Biology and Health
Язык: English
Издание: Softcover reprint of
Иллюстрации: 10 tables, black and white; 39 illustrations, black and white; xv, 334 p. 39 illus.; 10 tables, black and white; 39 illustrations, black and white; xv, 334 p. 39 illus.
Размер: 157 x 235 x 24
Читательская аудитория: Professional & vocational
Основная тема: Statistics
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: 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.
Дополнительное описание: Introduction to Genome-Wide Association Studies.- Topics of Quantitative Genetics.- An Introduction to Association Studies.- Correcting for Hidden Population Structure in Single Marker Association Testing and Estimation.- Haplotype Imputation for Associat

Design, Analysis, and Interpretation of Genome-Wide Association Scans, Daniel O. Stram