ABSTRACT
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.<
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 Applications. The Road Ahead. References.
