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    BMCBI
    2006
    216views more  BMCBI 2006»
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
    13 years 8 months ago
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
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    Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
    Haiying Wang, Huiru Zheng, David Simpson, Francisc...
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    BMCBI
    2006
    119views more  BMCBI 2006»
    Hidden Markov Model Variants and their Application
    13 years 8 months ago
    Hidden Markov Model Variants and their Application
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    Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
    Stephen Winters-Hilt
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    BMCBI
    2006
    158views more  BMCBI 2006»
    Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
    13 years 8 months ago
    Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
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    Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
    Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...
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    BMCBI
    2006
    130views more  BMCBI 2006»
    MicroTar: predicting microRNA targets from RNA duplexes
    13 years 8 months ago
    MicroTar: predicting microRNA targets from RNA duplexes
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    Background: The accurate prediction of a comprehensive set of messenger RNAs (targets) regulated by animal microRNAs (miRNAs) remains an open problem. In particular, the predictio...
    Rahul Thadani, Martti T. Tammi
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    BMCBI
    2006
    202views more  BMCBI 2006»
    Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
    13 years 8 months ago
    Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
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    Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
    David J. Reiss, Nitin S. Baliga, Richard Bonneau
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