Statistical analysis of gene expression microarray data

Statistical Analysis of Gene Expression Microarray Data promises to become the definitive basic reference in the field. Under the editorship of Terry Speed, some of the world's most pre-eminent authorities have joined forces to present the tools, features, and problems associated with the analysis of genetic microarray data. These include: * Model-based analysis of oligonucleotide arrays, including expression index computation, outlier detection, and standard error applications * Design and analysis of comparative experiments involving microarrays, with focus on two-color cDNA or long oligonucleotide arrays on glass slides * Classification issues, including the statistical foundations of classification and an overview of different classifiers * Clustering, partitioning, and hierarchical methods of analysis, including techniques related to principal components and singular value decomposition