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    BMCBI
    2006
    108views more  BMCBI 2006»
    A new pooling strategy for high-throughput screening: the Shifted Transversal Design
    13 years 9 months ago
    A new pooling strategy for high-throughput screening: the Shifted Transversal Design
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    Background: In binary high-throughput screening projects where the goal is the identification of low-frequency events, beyond the obvious issue of efficiency, false positives and ...
    Nicolas Thierry-Mieg
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    BMCBI
    2006
    99views more  BMCBI 2006»
    Genetic algorithm learning as a robust approach to RNA editing site prediction
    13 years 9 months ago
    Genetic algorithm learning as a robust approach to RNA editing site prediction
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    Background: RNA editing is one of several post-transcriptional modifications that may contribute to organismal complexity in the face of limited gene complement in a genome. One f...
    James Thompson, Shuba Gopal
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    BMCBI
    2006
    151views more  BMCBI 2006»
    Modeling Sage data with a truncated gamma-Poisson model
    13 years 9 months ago
    Modeling Sage data with a truncated gamma-Poisson model
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    Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
    Helene H. Thygesen, Aeilko H. Zwinderman
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    BMCBI
    2006
    134views more  BMCBI 2006»
    An approach for clustering gene expression data with error information
    13 years 9 months ago
    An approach for clustering gene expression data with error information
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    Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
    Brian Tjaden
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    BMCBI
    2006
    123views more  BMCBI 2006»
    Characterizing disease states from topological properties of transcriptional regulatory networks
    13 years 9 months ago
    Characterizing disease states from topological properties of transcriptional regulatory networks
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    Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
    David Tuck, Harriet Kluger, Yuval Kluger
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