Statistical Analysis of Gene Expression Microarray Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Analysis of Gene Expression Microarray Data write by Terry Speed. This book was released on 2003-03-26. Statistical Analysis of Gene Expression Microarray Data available in PDF, EPUB and Kindle. Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies
Statistical Analysis of Gene Expression Microarray Data
Statistical Analysis of Gene Expression Microarray Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Analysis of Gene Expression Microarray Data write by Terry Speed. This book was released on 2003-03-26. Statistical Analysis of Gene Expression Microarray Data available in PDF, EPUB and Kindle. Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies
Microarray Data
Microarray Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Microarray Data write by Shailaja R. Deshmukh. This book was released on 2007. Microarray Data available in PDF, EPUB and Kindle. Functional Genomics, a branch of bioinformatics, is essentially an interdisciplinary subject in which biologists, statisticians and computer experts interact to analyze the microarray data. This book caters to the needs of all the three disciplines. For biologists and computer scientists, it explains concepts of statistics and statistical inference. For Biologists and Statisticians, it provides annotated R programs to analyze microarray data. For Statisticians and Computer scientists, it explains basics of biology relevant to microarray experiment. Thus, the book will be useful to scientists from all the three disciplines, with not much knowledge of other disciplines, to analyze microarray data and interpret the results.
Analyzing Microarray Gene Expression Data
Analyzing Microarray Gene Expression Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analyzing Microarray Gene Expression Data write by Geoffrey J. McLachlan. This book was released on 2005-02-18. Analyzing Microarray Gene Expression Data available in PDF, EPUB and Kindle. 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
Analysis of Microarray Gene Expression Data
Analysis of Microarray Gene Expression Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analysis of Microarray Gene Expression Data write by Mei-Ling Ting Lee. This book was released on 2007-05-08. Analysis of Microarray Gene Expression Data available in PDF, EPUB and Kindle. After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data.
