Overview

Full Product Details

9780367495169

Table of Contents

Reviews

'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

'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

Author Information

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.

Tab Content 6

Customer Reviews

Recent Reviews

Countries Available