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    BMCBI
    2006
    145views more  BMCBI 2006»
    Querying the public databases for sequences using complex keywords contained in the feature lines
    13 years 9 months ago
    Querying the public databases for sequences using complex keywords contained in the feature lines
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    Background: High throughput technologies often require the retrieval of large data sets of sequences. Retrieval of EMBL or GenBank entries using keywords is easy using tools such ...
    Olivier Croce, Michaël Lamarre, Richard Chris...
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    BMCBI
    2006
    147views more  BMCBI 2006»
    A hidden Markov model approach for determining expression from genomic tiling micro arrays
    13 years 9 months ago
    A hidden Markov model approach for determining expression from genomic tiling micro arrays
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    Background: Genomic tiling micro arrays have great potential for identifying previously undiscovered coding as well as non-coding transcription. To-date, however, analyses of thes...
    Kasper Munch, Paul P. Gardner, Peter Arctander, An...
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    BMCBI
    2006
    104views more  BMCBI 2006»
    Semi-supervised discovery of differential genes
    13 years 9 months ago
    Semi-supervised discovery of differential genes
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    Background: Various statistical scores have been proposed for evaluating the significance of genes that may exhibit differential expression between two or more controlled conditio...
    Shigeyuki Oba, Shin Ishii
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    BMCBI
    2006
    141views more  BMCBI 2006»
    The use of concept maps during knowledge elicitation in ontology development processes - the nutrigenomics use case
    13 years 9 months ago
    The use of concept maps during knowledge elicitation in ontology development processes - the nutrigenomics use case
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    Background: Incorporation of ontologies into annotations has enabled 'semantic integration' of complex data, making explicit the knowledge within a certain field. One of...
    Alexander García Castro, Philippe Rocca-Ser...
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    BMCBI
    2005
    108views more  BMCBI 2005»
    A linear memory algorithm for Baum-Welch training
    13 years 9 months ago
    A linear memory algorithm for Baum-Welch training
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    Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
    István Miklós, Irmtraud M. Meyer
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