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    BMCBI
    2005
    80views more  BMCBI 2005»
    Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
    14 years 9 months ago
    Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
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    Background: Life processes are determined by the organism's genetic profile and multiple environmental variables. However the interaction between these factors is inherently ...
    Kevin Dawson, Raymond L. Rodriguez, Wasyl Malyj
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    BMCBI
    2005
    163views more  BMCBI 2005»
    Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
    14 years 9 months ago
    Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
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    Background: The evaluation of statistical significance has become a critical process in identifying differentially expressed genes in microarray studies. Classical p-value adjustm...
    Nitin Jain, HyungJun Cho, Michael O'Connell, Jae K...
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    BMCBI
    2004
    208views more  BMCBI 2004»
    Hybrid clustering for microarray image analysis combining intensity and shape features
    14 years 9 months ago
    Hybrid clustering for microarray image analysis combining intensity and shape features
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    Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
    Jörg Rahnenführer, Daniel Bozinov
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    BMCBI
    2005
    112views more  BMCBI 2005»
    Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
    14 years 9 months ago
    Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
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    Background: Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on ...
    Rainer Breitling, Patrick Armengaud, Anna Amtmann
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    BMCBI
    2006
    138views more  BMCBI 2006»
    Determination of strongly overlapping signaling activity from microarray data
    14 years 9 months ago
    Determination of strongly overlapping signaling activity from microarray data
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    Background: As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of...
    Ghislain Bidaut, Karsten Suhre, Jean-Michel Claver...
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