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Titlebook: Applied Statistical Genetics with R; For Population-based Andrea S. Foulkes Textbook 2009 Springer-Verlag New York 2009 Haplotype.Observabl

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發(fā)表于 2025-3-21 19:34:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Statistical Genetics with R
期刊簡(jiǎn)稱For Population-based
影響因子2023Andrea S. Foulkes
視頻videohttp://file.papertrans.cn/161/160150/160150.mp4
發(fā)行地址Introduces fundamental statistical concepts for the analysis of data rising from genetic association studies.Considers principles relevant to population-based studies, including methods for handling d
學(xué)科分類Use R!
圖書封面Titlebook: Applied Statistical Genetics with R; For Population-based Andrea S. Foulkes Textbook 2009 Springer-Verlag New York 2009 Haplotype.Observabl
影響因子.Statistical genetics has become a core course in many graduate programs in public health and medicine. This book presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics. Extensive examples are provided using publicly available data and the open source, statistical computing environment, R. .
Pindex Textbook 2009
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2197-5736 with a first course in biostatistics. Extensive examples are provided using publicly available data and the open source, statistical computing environment, R. .978-0-387-89553-6978-0-387-89554-3Series ISSN 2197-5736 Series E-ISSN 2197-5744
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2197-5736 o population-based studies, including methods for handling d.Statistical genetics has become a core course in many graduate programs in public health and medicine. This book presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers
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發(fā)表于 2025-3-22 16:31:05 | 只看該作者
Pulp and Paper Making Processes,n studies have marked potential for uncovering disease etiology while elucidating new approaches for targeted, individualized therapeutic interventions: (1) complex disease association studies in humans; and (2) studies involving the Human Immunodeficiency Virus (HIV)..In both settings, interest lie
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https://doi.org/10.1007/978-3-642-72266-0 they tend to have different nomenclature. All of these elements are important to the discovery and characterization of genotype{trait associations. Section 2.2 describes several simple measures and tests of statistical association, including correlation analysis, contingency table analysis and simp
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https://doi.org/10.1007/978-3-642-72266-0ationlevel haplotype frequencies; that is, the prevalence of specific haplotypes in the general population. Investigators are also interested in making inference about the association between haplotypes and a trait. This chapter addresses both aims and is divided into two sections. The First (Sectio
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