Amaratunga / Cabrera / Shkedy Exploration and Analysis of DNA Microarray and Other High-Dimensional Data

2. Auflage 2014
ISBN: 978-1-118-36453-6
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 344 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

Praise for the First Edition
"...extremely well written...a comprehensiveand up-to-date overview of this important field." -Journal of Environmental Quality
Exploration and Analysis of DNA Microarray and OtherHigh-Dimensional Data, Second Edition provides comprehensivecoverage of recent advancements in microarray data analysis. Acutting-edge guide, the Second Edition demonstrates variousmethodologies for analyzing data in biomedical research and offersan overview of the modern techniques used in microarray technologyto study patterns of gene activity.
The new edition answers the need for an efficient outline of allphases of this revolutionary analytical technique, frompreprocessing to the analysis stage. Utilizing research andexperience from highly-qualified authors in fields of dataanalysis, Exploration and Analysis of DNA Microarray and OtherHigh-Dimensional Data, Second Edition features:
* A new chapter on the interpretation of findings that includes adiscussion of signatures and material on gene set analysis,including network analysis
* New topics of coverage including ABC clustering, biclustering,partial least squares, penalized methods, ensemble methods, andenriched ensemble methods
* Updated exercises to deepen knowledge of the presented materialand provide readers with resources for further study
The book is an ideal reference for scientists in biomedical andgenomics research fields who analyze DNA microarrays and proteinarray data, as well as statisticians and bioinformaticspractitioners. Exploration and Analysis of DNA Microarray andOther High-Dimensional Data, Second Edition is also a usefultext for graduate-level courses on statistics, computationalbiology, and bioinformatics.

Autoren/Hrsg.

Amaratunga, Dhammika

Cabrera, Javier

Shkedy, Ziv

Über Autor(innen)

DHAMMIKA AMARATUNGA, PhD, is Senior Director and JanssenFellow in the Nonclinical Statistics and Computing Department atJanssen R&D, a Johnson & Johnson pharmaceutical company.His research interests include analysis of large multivariate datasets generated by functional genomics research, robust andresistant statistical methods, linear and nonlinear modeling, andbiostatistics.
JAVIER CABRERA, PhD, is Full Professor in the Departmentof Statistics at Rutgers University. He has published over 100articles in his areas of research interest, which include DNAmicroarray, data mining of biopharmaceutical databases, computervision, statistical computing and graphics, robustness, andbiostatistics. He has also lectured at Cold Spring HarborLaboratory, The Hong Kong University of Science and Technology, andNational University of Singapore.
ZIV SHKEDY, PhD, is Associate Professor and StatisticalConsultant in the Interuniversity Institute for Biostatistics andStatistical Bioinformatics, Center for Statistics at HasseltUniversity, Belgium. He has published numerous journal articles onthe topics of clinical and non-clinical trials, modeling infectiousdisease data, dose-response analysis, Bayesian modeling,bioinformatics, and analysis of gene expression data.