Data Analysis Tools for DNA Microarrays

ISBN-10: 1584883154

ISBN-13: 9781584883159

Edition: 2003

List price: $98.95
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Description: Technology today allows the collection of biological information at an unprecedented level of detail and in increasingly vast quantities. To reap real knowledge from the mountains of data produced, however, requires interdisciplinary skills-a background not only in biology but also in computer science and the tools and techniques of data analysis.To help meet the challenges of DNA research, Data Analysis Tools for DNA Microarrays builds the foundation in the statistics and data analysis tools needed by biologists and provides the overview of microarrays needed by computer scientists. It first presents the basics of microarray technology and more importantly, the specific problems the technology poses from the data analysis perspective. It then introduces the fundamentals of statistics and the details of the techniques most commonly used to analyze microarray data. The final chapter focuses on commercial applications with sections exploring various software packages from BioDiscovery, Insightful, SAS, and Spotfire. The book is richly illustrated with more than 230 figures in full color and comes with a CD-ROM containing full-feature trial versions of software for image analysis (ImaGene, BioDiscovery Inc.) and data analysis (GeneSight, BioDiscovery Inc. and S-Plus Array Analyzer, Insightful Inc.).Written in simple language and illustrated in full color, Data Analysis Tools for DNA Microarrays lowers the communication barrier between life scientists and analytical scientists. It prepares those charged with analyzing microarray data to make informed choices about the techniques to use in a given situation and contribute to further advances in the field.

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Book details

List price: $98.95
Copyright year: 2003
Publisher: CRC Press LLC
Publication date: 6/4/2003
Binding: Hardcover
Pages: 552
Size: 6.25" wide x 9.25" long x 1.25" tall
Weight: 2.332
Language: English

Introduction
Microarrays
Image Processing
Elements of Statistics
Statistical Hypothesis Testing
Classical Approaches to Data Analysis
Analysis of Variance-ANOVA. Experiment Design
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 The
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