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    BMCBI
    2008
    138views more  BMCBI 2008»
    M-BISON: Microarray-based integration of data sources using networks
    13 years 7 months ago
    M-BISON: Microarray-based integration of data sources using networks
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    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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    BMCBI
    2008
    128views more  BMCBI 2008»
    Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
    13 years 7 months ago
    Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
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    Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
    Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...
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    BMCBI
    2007
    163views more  BMCBI 2007»
    Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
    13 years 7 months ago
    Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
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    Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
    Carmen Pin, Mark Reuter
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    BMCBI
    2005
    118views more  BMCBI 2005»
    Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
    13 years 7 months ago
    Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
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    Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
    Thanyaluk Jirapech-Umpai, J. Stuart Aitken
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    BMCBI
    2010
    176views more  BMCBI 2010»
    Reverse engineering gene regulatory network from microarray data using linear time-variant model
    13 years 7 months ago
    Reverse engineering gene regulatory network from microarray data using linear time-variant model
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    nd: Gene regulatory network is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. Such prediction capability...
    Mitra Kabir, Nasimul Noman, Hitoshi Iba
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