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Preface. Acknowledgments. 1. Introduction. 2. Overview of Data Analysis. 3. Basic Data Analysis. 4. Visualization by Reduction of Dimensionality. 5. Cluster Analysis. 6. Beyond Cluster Analysis. 7. Reverse Engineering of Regulatory Networks. 8. Molecular Classifiers. 9. Selection of Genes for Spotting on Arrays. 10. Limitations of Expression Analysis. 11. Genotyping Chips. 12. Software Issues and Data Formats. 13. Commercial Software Packages. 14. Bibliography. Index.