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Written by pre-eminent world authorities in the field, this book will be the definitive reference guide for the statistical analysis of genetic microarray data. Starting from the first steps of genetic microarray data analysis, the book covers the most important topics and common methodologies for analyzing gene expression data, including preprocessing issues, experiment design, classification, and clustering. These discussions provide the tools and guidance needed by biologists, geneticists, and statisticians working in the analysis of genetic data. The presentation level is appropriate for a quantitative biologist and geneticist, as well as for computer scientists working in the area.
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