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    BMCBI
    2008
    178views more  BMCBI 2008»
    Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate vi
    13 years 6 months ago
    Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate vi
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    Background: The DNA microarray technology allows the measurement of expression levels of thousands of genes under tens/hundreds of different conditions. In microarray data, genes ...
    Kin-On Cheng, Ngai-Fong Law, Wan-Chi Siu, Alan Wee...
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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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    BMCBI
    2008
    121views more  BMCBI 2008»
    Stability of gene contributions and identification of outliers in multivariate analysis of microarray data
    13 years 6 months ago
    Stability of gene contributions and identification of outliers in multivariate analysis of microarray data
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    Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages com...
    Florent Baty, Daniel Jaeger, Frank Preiswerk, Mart...
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    BMCBI
    2005
    103views more  BMCBI 2005»
    Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments
    13 years 6 months ago
    Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments
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    Background: Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage o...
    Hua Liu, Sergey Tarima, Aaron S. Borders, Thomas V...
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    BMCBI
    2006
    173views more  BMCBI 2006»
    Kernel-based distance metric learning for microarray data classification
    13 years 6 months ago
    Kernel-based distance metric learning for microarray data classification
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    Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
    Huilin Xiong, Xue-wen Chen
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