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    BMCBI
    2007
    134views more  BMCBI 2007»
    A framework for significance analysis of gene expression data using dimension reduction methods
    13 years 7 months ago
    A framework for significance analysis of gene expression data using dimension reduction methods
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    Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
    Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
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    BMCBI
    2010
    124views more  BMCBI 2010»
    A factor model to analyze heterogeneity in gene expression
    13 years 7 months ago
    A factor model to analyze heterogeneity in gene expression
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    Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
    Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
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    BMCBI
    2007
    143views more  BMCBI 2007»
    Gene selection for classification of microarray data based on the Bayes error
    13 years 7 months ago
    Gene selection for classification of microarray data based on the Bayes error
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    Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
    Ji-Gang Zhang, Hong-Wen Deng
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    CGF
    2008
    142views more  CGF 2008»
    Visualizing Genome Expression and Regulatory Network Dynamics in Genomic and Metabolic Context
    13 years 7 months ago
    Visualizing Genome Expression and Regulatory Network Dynamics in Genomic and Metabolic Context
    Download  www.win.tue.nl
    DNA microarrays are used to measure the expression levels of thousands of genes simultaneously. In a time series experiment, the gene expressions are measured as a function of tim...
    Michel A. Westenberg, Sacha A. F. T. van Hijum, Os...
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    SIGIR
    2008
    ACM
    252views Information Technology» more  SIGIR 2008»
    Learning to reduce the semantic gap in web image retrieval and annotation
    13 years 7 months ago
    Learning to reduce the semantic gap in web image retrieval and annotation
    Download  research.microsoft.com
    We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
    Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
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