Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R

<p><strong><em>Analyzing high-dimensional gene expression and DNA methylation data with R</em></strong> 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 pre-processing 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.</p><p><strong>Features</strong>:</p><p>· Provides a sequence of analytical tools for genome-scale gene expression data and DNA methylation data starting from quality control and pre-processing of raw genome-scale data.</p><p>· Organized by a parallel presentation with explanation on statistical methods and corresponding R packages/functions in quality control pre-processing and data analyses (e.g. clustering and networks).</p><p>· Includes source codes with simulated and real data to reproduce the results. Readers are expected to gain the ability to independently analyze genome-scaled expression and methylation data and detect potential biomarkers.</p><p>This book is ideal for students majoring in statistics biostatistics and bioinformatics and researchers with an interest in high dimensional genetic and epigenetic studies.</p>