This book is the first to focus on the application of mathematical networks for analyzing microarray data. This method goes well beyond the standard clustering methods traditionally used.From the contents:Understanding and Preprocessing Microarray DataClustering of Microarray DataReconstruction of the Yeast Cell Cycle by Partial Correlations of Higher OrderBilayer Verification AlgorithmProbabilistic Boolean Networks as Models for Gene RegulationEstimating Transcriptional Regulatory Networks by a Bayesian NetworkAnalysis of Therapeutic Compound EffectsStatistical Methods for Inference of Genetic Networks and Regulatory ModulesIdentification of Genetic Networks by Structural EquationsPredicting Functional Modules Using Microarray and Protein Interaction DataIntegrating Results from Literature Mining and Microarray Experiments to Infer Gene NetworksThe book is for both, scientists using the technique as well as those developing new analysis techniques.

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