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    BMCBI
    2010
    132views more  BMCBI 2010»
    Error margin analysis for feature gene extraction
    13 years 8 months ago
    Error margin analysis for feature gene extraction
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    Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
    Chi Kin Chow, Hai Long Zhu, Jessica Lacy, Winston ...
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    BMCBI
    2010
    109views more  BMCBI 2010»
    Predicting gene function using hierarchical multi-label decision tree ensembles
    13 years 8 months ago
    Predicting gene function using hierarchical multi-label decision tree ensembles
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    Background: S. cerevisiae, A. thaliana and M. musculus are well-studied organisms in biology and the sequencing of their genomes was completed many years ago. It is still a challe...
    Leander Schietgat, Celine Vens, Jan Struyf, Hendri...
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    BMCBI
    2010
    176views more  BMCBI 2010»
    TargetSpy: a supervised machine learning approach for microRNA target prediction
    13 years 8 months ago
    TargetSpy: a supervised machine learning approach for microRNA target prediction
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    Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
    Martin Sturm, Michael Hackenberg, David Langenberg...
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    BMCBI
    2010
    118views more  BMCBI 2010»
    svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identifica
    13 years 8 months ago
    svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identifica
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    Background: Comparative analysis of gene expression profiling of multiple biological categories, such as different species of organisms or different kinds of tissue, promises to e...
    Wensheng Zhang, Andrea Edwards, Wei Fan, Dongxiao ...
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    BMCBI
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    13 years 8 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
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    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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