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    CIBCB
    2009
    IEEE
    146views Computational Biology» more  CIBCB 2009»
    Performance prediction for RNA design using parametric and non-parametric regression models
    13 years 5 months ago
    Performance prediction for RNA design using parametric and non-parametric regression models
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    Denny C. Dai, Kay C. Wiese
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    BMCBI
    2004
    180views more  BMCBI 2004»
    Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovaria
    13 years 4 months ago
    Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovaria
    Download  www.biomedcentral.com
    Background: A major goal of cancer research is to identify discrete biomarkers that specifically characterize a given malignancy. These markers are useful in diagnosis, may identi...
    Virginie M. Aris, Michael J. Cody, Jeff Cheng, Jam...
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    BMCBI
    2007
    139views more  BMCBI 2007»
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    13 years 4 months ago
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
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    Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
    Andrew S. Peek
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    BMCBI
    2006
    123views more  BMCBI 2006»
    Computational models with thermodynamic and composition features improve siRNA design
    13 years 4 months ago
    Computational models with thermodynamic and composition features improve siRNA design
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    Background: Small interfering RNAs (siRNAs) have become an important tool in cell and molecular biology. Reliable design of siRNA molecules is essential for the needs of large fun...
    Svetlana A. Shabalina, Alexey N. Spiridonov, Aleks...
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    BMCBI
    2006
    130views more  BMCBI 2006»
    An accurate and interpretable model for siRNA efficacy prediction
    13 years 4 months ago
    An accurate and interpretable model for siRNA efficacy prediction
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    Background: The use of exogenous small interfering RNAs (siRNAs) for gene silencing has quickly become a widespread molecular tool providing a powerful means for gene functional s...
    Jean-Philippe Vert, Nicolas Foveau, Christian Laja...
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