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    BMCBI
    2005
    190views more  BMCBI 2005»
    An Entropy-based gene selection method for cancer classification using microarray data
    13 years 8 months ago
    An Entropy-based gene selection method for cancer classification using microarray data
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    Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
    Xiaoxing Liu, Arun Krishnan, Adrian Mondry
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    BMCBI
    2007
    112views more  BMCBI 2007»
    Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
    13 years 8 months ago
    Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
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    Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
    Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...
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    BMCBI
    2010
    125views more  BMCBI 2010»
    Asymmetric microarray data produces gene lists highly predictive of research literature on multiple cancer types
    13 years 8 months ago
    Asymmetric microarray data produces gene lists highly predictive of research literature on multiple cancer types
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    Background: Much of the public access cancer microarray data is asymmetric, belonging to datasets containing no samples from normal tissue. Asymmetric data cannot be used in stand...
    Noor B. Dawany, Aydin Tozeren
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    BMCBI
    2004
    150views more  BMCBI 2004»
    Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data
    13 years 8 months ago
    Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data
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    Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
    Dietmar E. Martin, Philippe Demougin, Michael N. H...
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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 8 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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