Analyzing high-dimensional gene expression and DNA methylation data with R / Hongmei Zhang.

Author/creator Zhang, Hongmei
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : CRC Press, Taylor & Francis Group, 2020.
Description1 online resource
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

SeriesChapman & Hall/CRC mathematical and computational biology
Abstract "This will be the first book to systematically describe the process and provide corresponding methods for analysing data generated from genetic- and epigenetic-studies. The overall subject is on large data analysis. Specifically, the book aims to provide apipe line for genetic and epigenetic data analysis starting from raw genome- and epigenome-scale data. It includes methods to pre-process genetic and epigenetic data in the genome-scale, methods for data mining to identify potentially informative factors, and methods for subsequent analyses after data mining, e.g., factor/variable selections, network construction, and testing for differential networks"-- Provided by publisher.
General note"A Chapman & Hall book."
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record.
Issued in other formPrint version: Zhang, Hongmei (Professor of Biostatistics). Analyzing high-dimensional gene expression and DNA methylation data with R Boca Raton, FL : CRC Press, 2020. 9780367495169
Genre/formElectronic books.
LCCN 2020006653
ISBN9780429155192 (ebook)
ISBN(paperback)
ISBN(hardback)

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available