📖 Analyzing Microarray Gene Expression Data
Wednesday, September 12, 2018 by dev
Analyzing Microarray Gene Expression Data
By:Geoffrey McLachlan,Kim-Anh Do,Christophe Ambroise
Published on 2005-02-18 by John Wiley & Sons
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 tissues Extensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologies A model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samples The latest data cleaning and normalization procedures The uses of microarray expression data for providing important prognostic information on the outcome of disease
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Book which was published by John Wiley & Sons since 2005-02-18 have ISBNs, ISBN 13 Code is 9780471726128 and ISBN 10 Code is 0471726125
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