![]() | Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R Analyzing high-dimensional 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 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. Features: This book is ideal for students majoring in statistics, biostatistics, and bioinformatics and researchers with an interest in high dimensional genetic and epigenetic studies. Dr. Hongmei Zhang received her PhD in Statistics in 2003 from the Iowa State University. She was an Associate Professor in Biostatistics at the University of South Carolina before moving to the University of Memphis. She is the recipient of several NIH research grants for her collaborative work in cancer and allergic disease studies, and for her statistical methodology development in variable selection, joint clustering, and Bayesian network. |
![hidden image for function call](https://upload.wikimedia.org/wikipedia/commons/c/ca/1x1.png)