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Statistical Genomics

Genomics, the mapping of the entire genetic complement of an organism, is the new frontier in biology. This handbook on the statistical;

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Statistical Genomics

Genomics, the mapping of the entire genetic complement of an organism, is the new frontier in biology. This handbook on the statistical;

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Statistical Genomics

This volume expands on statistical analysis of genomic data by discussing cross-cutting groundwork material, public data repositories;

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Human Population Genetics and Genomics

Human Population Genetics and Genomics provides researchers/students with knowledge on population genetics and relevant statistical;

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Statistical Population Genomics

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Evolutionary Genomics

theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics;

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Evolutionary Genomics

theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics;

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Handbook of Statistical Genomics

A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough;

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Evolutionary Genomics

theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics;

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Evolutionary Genomics

theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics;

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Statistical Data Analytics

Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive;

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Recent Advances In Statistical Methods, Proceedings Of Statistics 2001 Canada

This volume consists of research papers dealing with computational and methodological issues of statistical methods on the cutting edge;

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Population Genomics with R

examined and integrated to provide a coherent software environment with a wide range of computational, statistical, and graphical tools. Small;

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Computational Intelligence Techniques for Comparative Genomics

statistical analysis approach to effectively study the disorders and possible causes along with medical applications.;

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Molecular Evolution

data has generated an acute need for powerful statistical methods and efficient computational algorithms to enable their effective analysis and;

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Statistical Portfolio Estimation

of investments. This book provides a comprehensive overview of statistical inference for portfolios and their various applications. A variety of asset;

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Statistical Portfolio Estimation

of investments. This book provides a comprehensive overview of statistical inference for portfolios and their various applications. A variety of asset;

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Chemical Genomics and Proteomics

advanced statistical and informatics data management, opening the way toward personalized medicine. Finally, various in silico chemogenomics;

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Chemical Genomics and Proteomics

advanced statistical and informatics data management, opening the way toward personalized medicine. Finally, various in silico chemogenomics;

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Core Statistics

parametric statistical models, including both theory and practical numerical computation. The book considers both frequentist maximum likelihood and;

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Core Statistics

parametric statistical models, including both theory and practical numerical computation. The book considers both frequentist maximum likelihood and;

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Genomic Clinical Trials and Predictive Medicine

, it includes background information on clinical trial design and statistical analysis. For statisticians and others who want to go deeper, it;

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Genomic Clinical Trials and Predictive Medicine

, it includes background information on clinical trial design and statistical analysis. For statisticians and others who want to go deeper, it;

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Survival Analysis in Medicine and Genetics

survival data. It provides thorough coverage of recent statistical developments in the medical and genetics fields. The text mainly addresses;

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Survival Analysis in Medicine and Genetics

survival data. It provides thorough coverage of recent statistical developments in the medical and genetics fields. The text mainly addresses;

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Cardiovascular Genomics

statistical and bioinformatic integration of phenotype data with genome-wide genotype and expression data in the second section. Understanding these;

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Applied Statistics in Biomedicine and Clinical Trials Design

; Modelling and Data Analysis; Personalized Medicine; and Statistical Genomics. The real world applications are in clinical trials, diagnostic;

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