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    BMCBI
    2008
    169views more  BMCBI 2008»
    A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
    13 years 11 months ago
    A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
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    Background: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular sig...
    Alexander R. Statnikov, Lily Wang, Constantin F. A...
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    CCR
    2008
    170views more  CCR 2008»
    Probe-Aided MulTCP: an aggregate congestion control mechanism
    13 years 11 months ago
    Probe-Aided MulTCP: an aggregate congestion control mechanism
    Download  ccr.sigcomm.org
    An aggregate congestion control mechanism, namely ProbeAided MulTCP (PA-MulTCP), is proposed in this paper. It is based on MulTCP, a proposal for enabling an aggregate to emulate ...
    Fang-Chun Kuo, Xiaoming Fu
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    BMCBI
    2006
    130views more  BMCBI 2006»
    CARMA: A platform for analyzing microarray datasets that incorporate replicate measures
    13 years 10 months ago
    CARMA: A platform for analyzing microarray datasets that incorporate replicate measures
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    Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
    Kevin A. Greer, Matthew R. McReynolds, Heddwen L. ...
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    BMCBI
    2006
    111views more  BMCBI 2006»
    PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
    13 years 10 months ago
    PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
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    Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
    Tomer Hertz, Chen Yanover
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    13 years 10 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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