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    » Topographic Mapping of Large Dissimilarity Data Sets
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    BMCBI
    2007
    147views more  BMCBI 2007»
    Improved residue contact prediction using support vector machines and a large feature set
    13 years 7 months ago
    Improved residue contact prediction using support vector machines and a large feature set
    Download  www.eecs.ucf.edu
    Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
    Jianlin Cheng, Pierre Baldi
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    SDM
    2007
    SIAM
    176views Data Mining» more  SDM 2007»
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
    13 years 9 months ago
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
    Download  siam.org
    We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
    Hichem Frigui, Cheul Hwang
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    BMCBI
    2008
    186views more  BMCBI 2008»
    Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
    13 years 7 months ago
    Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
    Download  www.biomedcentral.com
    Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
    Min Zhang, Dabao Zhang, Martin T. Wells
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    ICDM
    2006
    IEEE
    138views Data Mining» more  ICDM 2006»
    Adaptive Blocking: Learning to Scale Up Record Linkage
    14 years 1 months ago
    Adaptive Blocking: Learning to Scale Up Record Linkage
    Download  research.microsoft.com
    Many information integration tasks require computing similarity between pairs of objects. Pairwise similarity computations are particularly important in record linkage systems, as...
    Mikhail Bilenko, Beena Kamath, Raymond J. Mooney
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    BMCBI
    2008
    119views more  BMCBI 2008»
    A new method for 2D gel spot alignment: application to the analysis of large sample sets in clinical proteomics
    13 years 7 months ago
    A new method for 2D gel spot alignment: application to the analysis of large sample sets in clinical proteomics
    Download  www.biomedcentral.com
    Background: In current comparative proteomics studies, the large number of images generated by 2D gels is currently compared using spot matching algorithms. Unfortunately, differe...
    Sabine Pérès, Laurence Molina, Nicol...
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