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    » A New Hybrid Approach for Unsupervised Gene Selection
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    EDBT
    2006
    ACM
    105views Database» more  EDBT 2006»
    HASE: A Hybrid Approach to Selectivity Estimation for Conjunctive Predicates
    14 years 6 months ago
    HASE: A Hybrid Approach to Selectivity Estimation for Conjunctive Predicates
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    Current methods for selectivity estimation fall into two broad categories, synopsis-based and sampling-based. Synopsis-based methods, such as histograms, incur minimal overhead at ...
    Xiaohui Yu, Nick Koudas, Calisto Zuzarte
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    BMCBI
    2007
    110views more  BMCBI 2007»
    Selection of long oligonucleotides for gene expression microarrays using weighted rank-sum strategy
    13 years 6 months ago
    Selection of long oligonucleotides for gene expression microarrays using weighted rank-sum strategy
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    Background: The design of long oligonucleotides for spotted DNA microarrays requires detailed attention to ensure their optimal performance in the hybridization process. The main ...
    Guangan Hu, Manuel Llinás, Jingguang Li, Pe...
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    BMCBI
    2007
    154views more  BMCBI 2007»
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
    13 years 6 months ago
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
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    Background: An ever increasing number of techniques are being used to find genes with similar profiles from microarray studies. Visualization of gene expression profiles can aid t...
    Yvonne E. Pittelkow, Susan R. Wilson
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    IDA
    2002
    Springer
    87views Information Technology» more  IDA 2002»
    Evolutionary model selection in unsupervised learning
    13 years 6 months ago
    Evolutionary model selection in unsupervised learning
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    Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
    YongSeog Kim, W. Nick Street, Filippo Menczer
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    BMCBI
    2006
    124views more  BMCBI 2006»
    ZCURVE_V: a new self-training system for recognizing protein-coding genes in viral and phage genomes
    13 years 6 months ago
    ZCURVE_V: a new self-training system for recognizing protein-coding genes in viral and phage genomes
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    Background: It necessary to use highly accurate and statistics-based systems for viral and phage genome annotations. The GeneMark systems for gene-finding in virus and phage genom...
    Feng-Biao Guo, Chun-Ting Zhang
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