This
timely text presents a comprehensive guide to genetic association, a new and
rapidly expanding field that aims to elucidate how our genetic code (genotypes)
influences the traits we possess (phenotypes). The book provides a detailed
review of methods of gene mapping used in association with experimental
crosses, as well as genome-wide association studies. Emphasis is placed on
model selection procedures for analyzing data from large-scale genome scans
based on specifically designed modifications of the Bayesian information
criterion. Features: presents a thorough introduction to the theoretical
background to studies of genetic association (both genetic and statistical); reviews
the latest advances in the field; illustrates the properties of methods for
mapping quantitative trait loci using computer simulations and the analysis of
real data; discusses open challenges; includes an extensive statistical
appendix as a reference for those who are not totally familiar with the
fundamentals of statistics.
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Dr. Florian Frommlet is a researcher in the Center for Medical Statistics, Informatics, and Intelligent Systems at the Medical University of Vienna, Austria.
Dr. Małgorzata Bogdan is an Associate Professor in the Institute of Mathematics at Wrocław University, Poland.
Dr. David Ramsey is a Senior Lecturer in the Department of Operations Research at Wrocław University of Technology, Poland.
This timely text presents a comprehensive guide to genetic association, a new and rapidly expanding field that aims to elucidate how our genetic code (genotypes) influences the traits we possess (phenotypes). The book provides a detailed review of methods of gene mapping used in association with experimental crosses, as well as genome-wide association studies. Emphasis is placed on model selection procedures for analyzing data from large-scale genome scans based on specifically designed modifications of the Bayesian information criterion.
Topics and features:
This important work is essential reading for researchers and graduate students wishing to enter the field of statistical genetics and/or interested in statistical issues related to the analysis of high-dimensional data. No prior background knowledge of genetics is required, although some basic mathematical and computer science skills are assumed.
Dr. Florian Frommlet is a researcher in the Center for Medical Statistics, Informatics, and Intelligent Systems at the Medical University of Vienna, Austria. Dr. Małgorzata Bogdan is an Associate Professor in the Institute of Mathematics at Wrocław University, Poland. Dr. David Ramsey is a Senior Lecturer in the Department of Operations Research at Wrocław University of Technology, Poland.
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Thistimely text presents a comprehensive guide to genetic association, a new andrapidly expanding field that aims to elucidate how our genetic code (genotypes)influences the traits we possess (phenotypes). The book provides a detailedreview of methods of gene mapping used in association with experimentalcrosses, as well as genome-wide association studies. Emphasis is placed onmodel selection procedures for analyzing data from large-scale genome scansbased on specifically designed modifications of the Bayesian informationcriterion. Features: presents a thorough introduction to the theoreticalbackground to studies of genetic association (both genetic and statistical); reviewsthe latest advances in the field; illustrates the properties of methods formapping quantitative trait loci using computer simulations and the analysis ofreal data; discusses open challenges; includes an extensive statisticalappendix as a reference for those who are not totally familiar with thefundamentals of statistics. Artikel-Nr. 9781447153092
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