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Advanced Analysis Of Gene Expression Microarray Data (Science, Engineering, and Biology Informatics),New
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This book focuses on the development and application of the latest advanced data mining, machine learning, and visualization techniques for the identification of interesting, significant, and novel patterns in gene expression microarray data. Biomedical researchers will find this book invaluable for learning the cuttingedge methods for analyzing gene expression microarray data. Specifically, the coverage includes the following stateoftheart methods: * Genebased analysis: the latest novel clustering algorithms to identify coexpressed genes and coherent patterns in gene expression microarray data sets * Samplebased analysis: supervised and unsupervised methods for the reduction of the gene dimensionality to select significant genes. A series of approaches to disease classification and discovery are also described * Patternbased analysis: methods for ascertaining the relationship between (subsets of) genes and (subsets of) samples. Various novel patternbased clustering algorithms to find the coherent patterns embedded in the subattribute spaces are discussed * Visualization tools: various methods for gene expression data visualization. The visualization process is intended to transform the gene expression data set from highdimensional space into a more easily understood two or threedimensional space.
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This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
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