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    BMCBI
    2006
    143views more  BMCBI 2006»
    IsoSVM - Distinguishing isoforms and paralogs on the protein level
    13 years 8 months ago
    IsoSVM - Distinguishing isoforms and paralogs on the protein level
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    Background: Recent progress in cDNA and EST sequencing is yielding a deluge of sequence data. Like database search results and proteome databases, this data gives rise to inferred...
    Michael Spitzer, Stefan Lorkowski, Paul Cullen, Al...
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    BMCBI
    2006
    160views more  BMCBI 2006»
    Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources
    13 years 8 months ago
    Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources
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    Background: In order to improve gene prediction, extrinsic evidence on the gene structure can be collected from various sources of information such as genome-genome comparisons an...
    Mario Stanke, Oliver Schöffmann, Burkhard Mor...
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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
    111views more  BMCBI 2006»
    PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
    13 years 8 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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    BMCBI
    2006
    142views more  BMCBI 2006»
    Improving the Performance of SVM-RFE to Select Genes in Microarray Data
    13 years 8 months ago
    Improving the Performance of SVM-RFE to Select Genes in Microarray Data
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    Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
    Yuanyuan Ding, Dawn Wilkins
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