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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 9 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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    ENTCS
    2006
    97views more  ENTCS 2006»
    VyrdMC: Driving Runtime Refinement Checking with Model Checkers
    14 years 9 months ago
    VyrdMC: Driving Runtime Refinement Checking with Model Checkers
    Download  network.ku.edu.tr
    This paper presents VyrdMC, a runtime verification tool we are building for concurrent software components. The correctness criterion checked by VyrdMC is refinement: Each executi...
    Tayfun Elmas, Serdar Tasiran
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    BMCBI
    2005
    161views more  BMCBI 2005»
    Non-linear mapping for exploratory data analysis in functional genomics
    14 years 9 months ago
    Non-linear mapping for exploratory data analysis in functional genomics
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    Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
    Francisco Azuaje, Haiying Wang, Alban Chesneau
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    BMCBI
    2005
    116views more  BMCBI 2005»
    WEBnm@: a web application for normal mode analyses of proteins
    14 years 9 months ago
    WEBnm@: a web application for normal mode analyses of proteins
    Download  www.biomedcentral.com
    Background: Normal mode analysis (NMA) has become the method of choice to investigate the slowest motions in macromolecular systems. NMA is especially useful for large biomolecula...
    Siv Midtun Hollup, Gisle Sælensminde, Nathal...
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    BMCBI
    2005
    116views more  BMCBI 2005»
    Can Zipf's law be adapted to normalize microarrays?
    14 years 9 months ago
    Can Zipf's law be adapted to normalize microarrays?
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    Background: Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for ...
    Timothy Lu, Christine M. Costello, Peter J. P. Cro...
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