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Exploration and Analysis of DNA Microarray and Other High- Dimensional Data

ISBN-10: 1118356330

ISBN-13: 9781118356333

Edition: 2nd 2014

Authors: Dhammika Amaratunga, Javier Cabrera, Ziv Shkedy

List price: $182.95
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Description:

This new edition answers the need for a comprehensive, cutting–edge overview of this important and emerging field—effectively outlining all phases of this revolutionary analytical technique, from preprocessing to the analysis stage. Featuring new information on interpretation of findings, class prediction, ABC clustering, limma for mixed models, biclustering, mass spectrometry, tracking Spearman correlations, and more, this “extremely well written” ( Journal of Environmental Quality ) book is a choice reference for scientists, teachers, and students interested in DNA data analysis.
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Book details

List price: $182.95
Edition: 2nd
Copyright year: 2014
Publisher: John Wiley & Sons, Incorporated
Publication date: 3/7/2014
Binding: Hardcover
Pages: 344
Size: 6.50" wide x 9.75" long x 1.00" tall
Weight: 1.298
Language: English

Dan Lin holds a Ph.D. degree in Biostatistics from Hasselt University, Belgium. She currently works as a researcher at Hasselt University in the area of functional genomics and statistical bioinformatics.  Ziv Shkedy is an associate professor for biostatistics and bioinformatics at Hasselt University, Belgium.  Dr. Shkedy is a co-author of numerous publications applying statistical methods to infectious diseases data, non-clinical experiments in early drug development and the analysis of microarray and gene expression data. Over the last 15 years, Dr. Shkedy has collaborated with European organizations (ECDC, EMCDDA) on many projects relating to infectious diseases and with pharmaceutical partners on clinical, non-clinical and early drug development projects. Since 2007 he has served as an associate editor for Biometrics. Dr. Yekutieli is Senior Lecturer at Tel Aviv University. He has an M.Sc. and a Ph.D. in Applied Statistics from Tel Aviv University. His research interests include analysis of large-scale data sets, multiple testing and Bayesian analysis. He is currently the Harry W. Reynolds Visiting International Professor at the Wharton school, University of Pennsylvania. Dhammika Amaratunga is Senior Research Fellow in Nonclinical Statistics at Johnson & Johnson Pharma, where he has been involved in the statistical analysis of high-throughput genomics data since the late 1990s. He and his collaborators have numerous publications and presentations, including a book, �Exploration and Analysis of DNA Microarray and Protein Array Data,� which was one of the first fully authored books on this topic. He is a Fellow of the American Statistical Association. He has a B.Sc. (Hons.) in Mathematics from the University of Colombo (Sri Lanka) and a Ph.D. in Statistics from Princeton University (USA), which he received under the supervision of John W. Tukey. Luc Bijnens holds M.Sc. and Ph.D. degrees in Biology from the University of Antwerp, Belgium and an M.Sc. in Biostatistics from the University of Hasselt, Belgium. He spent the earlier part of his career in academia at the University of Antwerp, Belgium and Kisangani, Democratic Republic of Congo, and later with Bristol Meyers Squibb and the European Organization of Research and Treatment of Cancer. Luc joined Johnson and Johnson in 1997 as a Statistical Leader for clinical oncology and analgesia, where he was responsible for Durogesic in pain treatment. He also built a non-clinical biostatistics team within J&J that develops statistical methodology and software for R&D.  Luc has (co-)authored many publications on statistical methodology. He is a visiting professor at the Center for Statistics of the University of Hasselt and has played a major role in the professional statistics communities in Belgium and Europe, as a society officer (IBS, RSS local groups), conference organizer (NCS2008 in Leuven) and mentor to young people entering the biostatistics profession. He has coached and sponsored several M.Sc. and Ph.D. students with their theses during his career.