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    BMCBI
    2007
    112views more  BMCBI 2007»
    Selecting dissimilar genes for multi-class classification, an application in cancer subtyping
    13 years 6 months ago
    Selecting dissimilar genes for multi-class classification, an application in cancer subtyping
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    Background: Gene expression microarray is a powerful technology for genetic profiling diseases and their associated treatments. Such a process involves a key step of biomarker ide...
    Zhipeng Cai, Randy Goebel, Mohammad R. Salavatipou...
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    BMCBI
    2004
    87views more  BMCBI 2004»
    Selection of informative clusters from hierarchical cluster tree with gene classes
    13 years 6 months ago
    Selection of informative clusters from hierarchical cluster tree with gene classes
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    Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
    Petri Törönen
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    BMCBI
    2007
    154views more  BMCBI 2007»
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
    13 years 6 months ago
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
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    Background: An ever increasing number of techniques are being used to find genes with similar profiles from microarray studies. Visualization of gene expression profiles can aid t...
    Yvonne E. Pittelkow, Susan R. Wilson
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    CATA
    2009
    186views Computer Science» more  CATA 2009»
    Nearest Shrunken Centroid as Feature Selection of Microarray Data
    13 years 7 months ago
    Nearest Shrunken Centroid as Feature Selection of Microarray Data
    Download  public.clunet.edu
    The nearest shrunken centroid classifier uses shrunken centroids as prototypes for each class and test samples are classified to belong to the class whose shrunken centroid is nea...
    Myungsook Klassen, Nyunsu Kim
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    BMCBI
    2010
    153views more  BMCBI 2010»
    Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
    13 years 6 months ago
    Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
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    Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
    Eva Freyhult, Mattias Landfors, Jenny Önskog,...
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