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By Zhang Aidong
Zhang Aidong, 2006
This book explores the development and application of advanced data mining, machine learning, and visualization techniques for identifying significant patterns in gene expression microarray data. It provides biomedical researchers with cutting-edge methods for data analysis. Coverage includes gene-based analysis with novel clustering algorithms, sample-based analysis for dimensionality reduction and gene selection, and approaches to disease classification. Pattern-based analysis methods are discussed for understanding relationships between genes and samples, alongside various visualization tools to simplify high-dimensional data.