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Titlebook: Design, Analysis, and Interpretation of Genome-Wide Association Scans; Daniel O. Stram Book 2014 Springer Science+Business Media New York

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書(shū)目名稱Design, Analysis, and Interpretation of Genome-Wide Association Scans
編輯Daniel O. Stram
視頻videohttp://file.papertrans.cn/269/268802/268802.mp4
概述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 medicine.Does not require previou
叢書(shū)名稱Statistics for Biology and Health
圖書(shū)封面Titlebook: Design, Analysis, and Interpretation of Genome-Wide Association Scans;  Daniel O. Stram Book 2014 Springer Science+Business Media New York
描述.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 curre
出版日期Book 2014
關(guān)鍵詞Biostatistics; GWAS studies; Genetic disease variation; Genome studies; Risk prediction; Statistics in pu
版次1
doihttps://doi.org/10.1007/978-1-4614-9443-0
isbn_softcover978-1-4939-4952-6
isbn_ebook978-1-4614-9443-0Series ISSN 1431-8776 Series E-ISSN 2197-5671
issn_series 1431-8776
copyrightSpringer Science+Business Media New York 2014
The information of publication is updating

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Book 2014enetic 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 i
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Vampire with a Brain Is a Good ITP Hammerdisplay, by ., of leading principal components that characterize global population structure..Many parts of the broader field of population genetics are entirely ignored here. Notably we do not discuss, except parenthetically, natural selection as a force determining allele frequency distributions w
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Frontiers of Computational Sciencetainties in the estimation of the haplotype frequencies that underlie the imputation of haplotypes, the chapter also considers simultaneous maximum likelihood estimation of all parameters (risk estimates and haplotype frequency estimates), so that haplotype uncertainty is formally taken account of i
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