1st Edition
Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R
Genome-Scale Genetic and Epigenetic Data. Methods for Data Pre-Processing. Data Mining. Genetic and Epigenetic Factor Selections. Network Construction and Analyses.
Biography
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.
'A big asset of the book, which makes it remarkable contribution and ideal reference book for students of statistics, biostatistics, bioinformatics as well as applied workers/researchers interested in exploring high-dimensional genetic and epigenetic, is the well-illustrated applications and reproducible R codes for thoroughly analysing gene expression and DNA methylation data sets at the genome scale along with the ‘pipeline’ for analytical methods.'
-Anoop Chaturvedi, University of Allahabad, Prayagraj, India
"I would recommend this brief but consistent practical volume, especially to students with a statistical background, interested in high-dimensional genetic and epigenetic studies."
-Anca Vitcu, International Society for Clinical Biostatistics, 72, 2021
