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    BMCBI
    2007
    171views more  BMCBI 2007»
    Classification of microarray data using gene networks
    13 years 10 months ago
    Classification of microarray data using gene networks
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    Background: Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) a...
    Franck Rapaport, Andrei Zinovyev, Marie Dutreix, E...
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    ESWA
    2007
    176views more  ESWA 2007»
    Credit scoring with a data mining approach based on support vector machines
    13 years 10 months ago
    Credit scoring with a data mining approach based on support vector machines
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    The credit card industry has been growing rapidly recently, and thus huge numbers of consumers’ credit data are collected by the credit department of the bank. The credit scorin...
    Cheng-Lung Huang, Mu-Chen Chen, Chieh-Jen Wang
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    BMCBI
    2005
    100views more  BMCBI 2005»
    Speeding disease gene discovery by sequence based candidate prioritization
    13 years 10 months ago
    Speeding disease gene discovery by sequence based candidate prioritization
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    Background: Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is...
    Euan A. Adie, Richard R. Adams, Kathryn L. Evans, ...
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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
    13 years 10 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
    2011
    265views Artificial Intelligence» more  BMCBI 2011»
    Study of large and highly stratified population datasets by combining iterative pruning principal component analysis and STRUCTU
    13 years 1 months ago
    Study of large and highly stratified population datasets by combining iterative pruning principal component analysis and STRUCTU
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    Background: The ever increasing sizes of population genetic datasets pose great challenges for population structure analysis. The Tracy-Widom (TW) statistical test is widely used ...
    Tulaya Limpiti, Apichart Intarapanich, Anunchai As...
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