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    BMCBI
    2008
    123views more  BMCBI 2008»
    Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
    13 years 7 months ago
    Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
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    Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
    Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
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    BMCBI
    2007
    95views more  BMCBI 2007»
    Phylogenetic tree information aids supervised learning for predicting protein-protein interaction based on distance matrices
    13 years 7 months ago
    Phylogenetic tree information aids supervised learning for predicting protein-protein interaction based on distance matrices
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    Background: Protein-protein interactions are critical for cellular functions. Recently developed computational approaches for predicting protein-protein interactions utilize co-ev...
    Roger A. Craig, Li Liao
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    IJON
    2010
    148views more  IJON 2010»
    Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machin
    13 years 4 months ago
    Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machin
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    Several solutions have been proposed to exploit the availability of heterogeneous sources of biomolecular data for gene function prediction, but few attention has been dedicated t...
    Matteo Re, Giorgio Valentini
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    ICALT
    2008
    IEEE
    96views Machine Learning» more  ICALT 2008»
    Learning to Teach Sports to Handicapped People Using Games
    14 years 2 months ago
    Learning to Teach Sports to Handicapped People Using Games
    Download  www.lcc.uma.es
    Nowadays most universities use different distance learning environments. However in the educational process besides forums, chats and other collaborative possibilities the content...
    David Bueno, Jose Chacon, Cristina Carmona
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    NN
    2006
    Springer
    163views Neural Networks» more  NN 2006»
    Machine learning approaches for estimation of prediction interval for the model output
    13 years 7 months ago
    Machine learning approaches for estimation of prediction interval for the model output
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    A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
    Durga L. Shrestha, Dimitri P. Solomatine
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