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Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R (eBook, ePUB) - Zhang, Hongmei
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This will be the first book to systematically describe the process and provide corresponding methods for analysing data generated from genetic- and epigenetic-studies. The overall subject is on large data analysis. Specifically, the book aims to provide apipe line for genetic and epigenetic data analysis starting from raw genome- and epigenome-scale data. It includes methods to pre-process genetic and epigenetic data in the genome-scale, methods for data mining to identify potentially informative factors, and methods for subsequent analyses after data mining, e.g., factor/variable selections, network construction, and testing for differential networks.…mehr

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Produktbeschreibung
This will be the first book to systematically describe the process and provide corresponding methods for analysing data generated from genetic- and epigenetic-studies. The overall subject is on large data analysis. Specifically, the book aims to provide apipe line for genetic and epigenetic data analysis starting from raw genome- and epigenome-scale data. It includes methods to pre-process genetic and epigenetic data in the genome-scale, methods for data mining to identify potentially informative factors, and methods for subsequent analyses after data mining, e.g., factor/variable selections, network construction, and testing for differential networks.

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Autorenporträt
Hongmei Zhang is a Biostatistician at the University of Memphis. She has been working with gene expression and DNA methylation data and her methodological research interest is to develop corresponding statistical methods. She has been teaching courses in this field for a number of years.