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Analyzing highdimensional gene expression and DNA methylation data with R is the first practical book that shows a pipeline' of analytical methods with concrete examples starting from raw gene expression and DNA methylation data at the genome scale. Methods on quality control, data preprocessing, data mining, and further assessments are presented in the book, and R programs based on simulated data and real data are included. Codes with example data are all reproducible.Features: Provides a sequence of analytical tools for genomescale gene expression data and DNA methylation data, starting from quality control and preprocessing of raw genomescale data. Organized by a parallel presentation with explanation on statistical methods and corresponding R packages/functions in quality control, preprocessing, and data analyses (e.g., clustering and networks). Includes source codes with simulated and real data to reproduce the results. Readers are expected to gain the ability to independently analyze genomescaled expression and methylation data and detect potential biomarkers.This book is ideal for students majoring in statistics, biostatistics, and bioinformatics and researchers with an interest in high dimensional genetic and epigenetic studies.
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birth defects, or other reproductive harm.
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