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    BMCBI
    2008
    162views more  BMCBI 2008»
    Background correction using dinucleotide affinities improves the performance of GCRMA
    14 years 10 months ago
    Background correction using dinucleotide affinities improves the performance of GCRMA
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    Background: High-density short oligonucleotide microarrays are a primary research tool for assessing global gene expression. Background noise on microarrays comprises a significan...
    Raad Z. Gharaibeh, Anthony Fodor, Cynthia Gibas
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    APVIS
    2009
    119views Information Technology» more  APVIS 2009»
    Optimized data transfer for time-dependent, GPU-based glyphs
    14 years 11 months ago
    Optimized data transfer for time-dependent, GPU-based glyphs
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    Particle-based simulations are a popular tool for researchers in various sciences. In combination with the availability of ever larger COTS clusters and the consequently increasin...
    Sebastian Grottel, Guido Reina, Thomas Ertl
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    WSC
    2004
    96views Modeling And Simulation» more  WSC 2004»
    Sensitivity Analysis for Transient Single Server Queuing Models Using an Interpolation Approach
    14 years 11 months ago
    Sensitivity Analysis for Transient Single Server Queuing Models Using an Interpolation Approach
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    Simulation is an essential tool for performance evaluation of many practical systems where planners typically want to know how the system will perform under various parameter sett...
    Mohamed A. Ahmed, Talal M. Alkhamis
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    CCR
    2006
    110views more  CCR 2006»
    Estimating network proximity and latency
    14 years 9 months ago
    Estimating network proximity and latency
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    Network proximity and latency estimation is an important component in discovering and locating services and applications. With the growing number of services and service providers...
    Puneet Sharma, Zhichen Xu, Sujata Banerjee, Sung-J...
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    BMCBI
    2006
    116views more  BMCBI 2006»
    Integrative missing value estimation for microarray data
    14 years 9 months ago
    Integrative missing value estimation for microarray data
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    Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...
    Jianjun Hu, Haifeng Li, Michael S. Waterman, Xiang...
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