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These include Modelbased analysis of oligonucleotide arrays includingexpression index computation outlier detection and standard errorapplications Design and analysis of comparative experiments involvingmicroarrays with focus on \ twocolor cDNA or long oligonucleotide arrays onglass slides Classification issues including the statistical foundations ofclassification and an overview of different classifiers Clusteringpartitioning and hierarchical methods of analysis including techniquesrelated to principal components and singular value decompositionAlthough thetechnologies used in largescale high throughput assays will continue toevolve statistical analysis will remain a cornerstone of their success andfuture development. Statistical Analysis of Gene Expression Microarray Datawill help you meet the challenges of large complex datasets and contribute tonew methodological and computational advances. «
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