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

Скачать книгу бесплатно (djvu, 3.12 Mb)

---

Читать «Statistical analysis of gene expression microarray data»