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  • Methods and Applications
    Michael J. Korenberg
    978-1-59745-390-5
    2007
    Edition 1
    • Information on an array of topics including genomic signal processing, matrix algebra and genetic networks, predictive models of gene regulation, comparing microarray studies, identifying progression-associated genes in astrocytoma, analysis of comparative genomic hybridization data on cDNA microarrays, statistical framework for gene expression analysis, and interpretation ingof microarray results with gene ontology and MeSH ontology
    • Use classic, novel, and state-of-the-art methods in a readily reproducible format
    • Master tricks of the trade, troubleshoot, and avoid known pitfalls

    Get access as part of Springer Protocols.

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