Chapter 1 Introduction -- chapter 2 Microarrays -- chapter 3 Image processing -- chapter 4 Elements of statistics -- chapter 5 Statistical hypothesis testing -- chapter 6 Classical approaches to data analysis -- chapter 7 Analysis of Variance ANOVA -- chapter 8 Experiment design -- chapter 9 Multiple comparisons -- chapter 10 Analysis and visualization tools -- chapter 11 Cluster analysis -- chapter 12 Data pre-processing and normalization -- chapter 13 Methods for selecting differentially regulated genes -- chapter 14 Functional analysis and biological interpretation of microarray data -- chapter 15 Focused microarrays comparison and selection -- chapter 16 Commercial applications -- chapter 17 The road ahead
Summary
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.<
Bibliography
Includes bibliographical references (pages 443-465) and index
