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Advanced Analysis Of Gene Expression Microarray Data

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Release : 2006-06-27
Genre : Science
Kind : eBook
Book Rating : 646/5 ( reviews)

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Book Synopsis Advanced Analysis Of Gene Expression Microarray Data by : Aidong Zhang

Download or read book Advanced Analysis Of Gene Expression Microarray Data written by Aidong Zhang. This book was released on 2006-06-27. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the development and application of the latest advanced data mining, machine learning, and visualization techniques for the identification of interesting, significant, and novel patterns in gene expression microarray data.Biomedical researchers will find this book invaluable for learning the cutting-edge methods for analyzing gene expression microarray data. Specifically, the coverage includes the following state-of-the-art methods:• Gene-based analysis: the latest novel clustering algorithms to identify co-expressed genes and coherent patterns in gene expression microarray data sets• Sample-based analysis: supervised and unsupervised methods for the reduction of the gene dimensionality to select significant genes. A series of approaches to disease classification and discovery are also described• Pattern-based analysis: methods for ascertaining the relationship between (subsets of) genes and (subsets of) samples. Various novel pattern-based clustering algorithms to find the coherent patterns embedded in the sub-attribute spaces are discussed• Visualization tools: various methods for gene expression data visualization. The visualization process is intended to transform the gene expression data set from high-dimensional space into a more easily understood two- or three-dimensional space.

Analyzing Microarray Gene Expression Data

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Release : 2005-02-18
Genre : Mathematics
Kind : eBook
Book Rating : 125/5 ( reviews)

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Book Synopsis Analyzing Microarray Gene Expression Data by : Geoffrey J. McLachlan

Download or read book Analyzing Microarray Gene Expression Data written by Geoffrey J. McLachlan. This book was released on 2005-02-18. Available in PDF, EPUB and Kindle. Book excerpt: 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

Statistical Analysis of Gene Expression Microarray Data

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Release : 2003-03-26
Genre : Mathematics
Kind : eBook
Book Rating : 236/5 ( reviews)

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Book Synopsis Statistical Analysis of Gene Expression Microarray Data by : Terry Speed

Download or read book Statistical Analysis of Gene Expression Microarray Data written by Terry Speed. This book was released on 2003-03-26. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download Statistical Analysis of Gene Expression Microarray Data PDF Online Free

Author :
Release : 2003-03-26
Genre : Mathematics
Kind : eBook
Book Rating : 367/5 ( reviews)

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Book Synopsis Statistical Analysis of Gene Expression Microarray Data by : Terry Speed

Download or read book Statistical Analysis of Gene Expression Microarray Data written by Terry Speed. This book was released on 2003-03-26. Available in PDF, EPUB and Kindle. Book excerpt: 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

A Biologist's Guide to Analysis of DNA Microarray Data

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Author :
Release : 2011-09-23
Genre : Science
Kind : eBook
Book Rating : 180/5 ( reviews)

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Book Synopsis A Biologist's Guide to Analysis of DNA Microarray Data by : Steen Knudsen

Download or read book A Biologist's Guide to Analysis of DNA Microarray Data written by Steen Knudsen. This book was released on 2011-09-23. Available in PDF, EPUB and Kindle. Book excerpt: A great introductory book that details reliable approaches to problems met in standard microarray data analyses. It provides examples of established approaches such as cluster analysis, function prediction, and principle component analysis. Discover real examples to illustrate the key concepts of data analysis. Written for those without any advanced background in math, statistics, or computer sciences, this book is essential for anyone interested in harnessing the immense potential of microarrays in biology and medicine.

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