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    BMCBI
    2010
    165views more  BMCBI 2010»
    Bayesian integrated modeling of expression data: a case study on RhoG
    14 years 10 months ago
    Bayesian integrated modeling of expression data: a case study on RhoG
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    Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
    Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...
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    BMCBI
    2010
    158views more  BMCBI 2010»
    A Bayesian network approach to feature selection in mass spectrometry data
    14 years 10 months ago
    A Bayesian network approach to feature selection in mass spectrometry data
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    Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
    Karl W. Kuschner, Dariya I. Malyarenko, William E....
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    BMCBI
    2007
    112views more  BMCBI 2007»
    Selecting dissimilar genes for multi-class classification, an application in cancer subtyping
    14 years 10 months ago
    Selecting dissimilar genes for multi-class classification, an application in cancer subtyping
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    Background: Gene expression microarray is a powerful technology for genetic profiling diseases and their associated treatments. Such a process involves a key step of biomarker ide...
    Zhipeng Cai, Randy Goebel, Mohammad R. Salavatipou...
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    CORR
    2008
    Springer
    167views Education» more  CORR 2008»
    Fast k Nearest Neighbor Search using GPU
    14 years 10 months ago
    Fast k Nearest Neighbor Search using GPU
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    Statistical measures coming from information theory represent interesting bases for image and video processing tasks such as image retrieval and video object tracking. For example...
    Vincent Garcia, Eric Debreuve, Michel Barlaud
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    BMCBI
    2006
    103views more  BMCBI 2006»
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
    14 years 10 months ago
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
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    Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
    Sébastien Lemieux
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