Read Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics) by Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise Online
Read ! Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics) PDF by ^ Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise eBook or Kindle ePUB Online free. Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics) A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic an
| Title | : | Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics) |
| Author | : | |
| Rating | : | 4.10 (700 Votes) |
| Asin | : | 0471226165 |
| Format Type | : | paperback |
| Number of Pages | : | 368 Pages |
| Publish Date | : | 2014-07-31 |
| Language | : | English |
"…well written, logically organized…useful to those unfamiliar with the microarray literature…" (Journal of the American Statistical Association, December 2005) “….would serve as a very good resource for a graduate topics seminar in advanced applied statistics.” (Short Book Reviews, Vol.25, No.1, April 2005)"For the intended audience of biostatisticians and biologists…this book will be an asset." (E-STREAMS, February 2005)"I liked this book…expands on both the tools and applications of microarray data analysis…" (Technometrics, February 2005)
Michael R. Chernick said The statistics of Gene expression data from microarrays. McLachlan is a very well-known statistician who specializes in classification, pattern recognition and mixture distribution models. I was surprised to see him write a book on microarray data. But I shouldn't have been. It turns out that in addition to data p
McLACHLAN, PhD, is Professor of Statistics at the University of Queensland, Australia, and the author of four very successful statistical texts. GEOFFREY J. KIM-ANH DO, PhD, is Professor of Biostatistics at the University of Texas MD Anderson Cancer Center in Houston, Texas.CHRISTOPHE AMBROISE, PhD, is Lecturer at the Université
A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date.Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including:An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissuesExtensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologiesA model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samplesThe latest data cleaning and normalization proceduresThe uses of microarray expression data for pr
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