Data analysis tools for DNA microarrays

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The book explains complex and sometimes subtle data analysis issues providing the life scientist with the ability to make informed choices in the day-by-day exploratory data analysis.

For the analytical scientist, the book explains the most common biological questions and emphasizes specific data analysis issues characteristic of microarray data. We have separate stores for courses being taken at some other locations. Downtown Campus Bookstore. Problems with this page?


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Please contact the Bookstore. My Cart 0 items. DNA microarrays. DNA microarrays -- Mathematical models. DNA Microarrays. Oligonucleotide Array Sequence Analysis -- methods. DNA microarrays -- Statistical methods. DNA microarrays -- Methodology. Summary "The theoretical aspects are complemented by a discussion of several commercial applications with sections exploring various software packages from BioDiscovery, Insightful, SAS, and Spotfire.

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The book is illustrated with more than figures in full color. The attached CD-ROMs contain full-feature trial versions of leading software for image and data analysis allowing the reader to practice everything explained in the book. Describing the most complex data analysis techniques in simple language, this book aims to lower the communication barrier between life scientists and analytical scientists. The book explains complex and sometimes subtle data analysis issues providing the life scientist with the ability to make informed choices in the day-by-day exploratory data analysis.

For the analytical scientist, the book explains the most common biological questions and emphasizes specific data analysis issues characteristic of microarray data. Contents 1. Introduction 2. Microarrays 3. Image processing 4. Elements of statistics 5.

Microarray, SAGE and other gene expression data analysis tools | HSLS

Statistical hypothesis testing 6. Classical approaches to data analysis 7. Experiment design 9.

Data Analysis Tools for DNA Microarrays

Multiple comparisons Analysis and visualization tools Cluster analysis Data pre-processing and normalization Methods for selecting differentially regulated genes Functional analysis and biological interpretation of microarray data Focused microarrays - comparison and selection Commercial applications The road ahead. Notes Includes bibliographical references p. Data analysis tools for DNA microarrays.

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