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    BMCBI
    2006
    173views more  BMCBI 2006»
    Kernel-based distance metric learning for microarray data classification
    14 years 9 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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    BMCBI
    2004
    169views more  BMCBI 2004»
    A power law global error model for the identification of differentially expressed genes in microarray data
    14 years 9 months ago
    A power law global error model for the identification of differentially expressed genes in microarray data
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    Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
    Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
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    SAC
    2006
    ACM
    70views Applied Computing» more  SAC 2006»
    Two-phase clustering strategy for gene expression data sets
    15 years 3 months ago
    Two-phase clustering strategy for gene expression data sets
    Download  web1.bib.uni-hildesheim.de
    In the context of genome research, the method of gene expression analysis has been used for several years. Related microarray experiments are conducted all over the world, and con...
    Dirk Habich, Thomas Wächter, Wolfgang Lehner,...
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    BMCBI
    2007
    97views more  BMCBI 2007»
    In situ analysis of cross-hybridisation on microarrays and the inference of expression correlation
    14 years 9 months ago
    In situ analysis of cross-hybridisation on microarrays and the inference of expression correlation
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    Background: Microarray co-expression signatures are an important tool for studying gene function and relations between genes. In addition to genuine biological co-expression, corr...
    Tineke Casneuf, Yves Van de Peer, Wolfgang Huber
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    BMCBI
    2008
    138views more  BMCBI 2008»
    M-BISON: Microarray-based integration of data sources using networks
    14 years 9 months ago
    M-BISON: Microarray-based integration of data sources using networks
    Download  www.biomedcentral.com
    Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
    Bernie J. Daigle Jr., Russ B. Altman
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