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    BMCBI
    2006
    111views more  BMCBI 2006»
    Using ESTs to improve the accuracy of de novo gene prediction
    13 years 7 months ago
    Using ESTs to improve the accuracy of de novo gene prediction
    Download  mblab.wustl.edu
    Background: ESTs are a tremendous resource for determining the exon-intron structures of genes, but even extensive EST sequencing tends to leave many exons and genes untouched. Ge...
    Chaochun Wei, Michael R. Brent
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    BMCBI
    2008
    128views more  BMCBI 2008»
    Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
    13 years 7 months ago
    Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
    Download  www.biomedcentral.com
    Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
    Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...
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    BIBM
    2008
    IEEE
    217views Bioinformatics» more  BIBM 2008»
    Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
    14 years 2 months ago
    Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
    Download  math.bu.edu
    The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
    Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon ...
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    BMCBI
    2004
    166views more  BMCBI 2004»
    Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
    13 years 7 months ago
    Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
    Download  eprints.nuim.ie
    Background: Many current gene prediction methods use only one model to represent proteincoding regions in a genome, and so are less likely to predict the location of genes that ha...
    Shaun Mahony, James O. McInerney, Terry J. Smith, ...
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    BMCBI
    2006
    152views more  BMCBI 2006»
    Amplification of the Gene Ontology annotation of Affymetrix probe sets
    13 years 7 months ago
    Amplification of the Gene Ontology annotation of Affymetrix probe sets
    Download  www.biomedcentral.com
    Background: The annotations of Affymetrix DNA microarray probe sets with Gene Ontology terms are carefully selected for correctness. This results in very accurate but incomplete a...
    Enrique M. Muro, Carolina Perez-Iratxeta, Miguel A...
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