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    APBC
    2004
    132views Bioinformatics» more  APBC 2004»
    Identifying Character Non-Independence in Phylogenetic Data Using Data Mining Techniques
    13 years 9 months ago
    Identifying Character Non-Independence in Phylogenetic Data Using Data Mining Techniques
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    Undiscovered relationships in a data set may confound analyses, particularly those that assume data independence. Such problems occur when characters used for phylogenetic analyse...
    Anne M. Maglia, Jennifer L. Leopold, Venkat Ram Gh...
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    APBC
    2004
    70views Bioinformatics» more  APBC 2004»
    Variable-length Intervals in Homology Search
    13 years 9 months ago
    Variable-length Intervals in Homology Search
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    Fast, accurate, and scalable search techniques for homology searching of large genomic collections are becoming an increasingly important requirement as genomic sequence collectio...
    Abhijit Chattaraj, Hugh E. Williams
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    APBC
    2004
    138views Bioinformatics» more  APBC 2004»
    Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
    13 years 9 months ago
    Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
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    Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments. The resulti...
    See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong
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    APBC
    2004
    107views Bioinformatics» more  APBC 2004»
    An Empirical Bayes Adjustment to Multiple p-values for the Detection of Differentially Expressed Genes in Microarray Experiments
    13 years 9 months ago
    An Empirical Bayes Adjustment to Multiple p-values for the Detection of Differentially Expressed Genes in Microarray Experiments
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    In recent microarray experiments thousands of gene expressions are simultaneously tested in comparing samples (e.g., tissue types or experimental conditions). Application of a sta...
    Somnath Datta, Susmita Datta
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    APBC
    2004
    166views Bioinformatics» more  APBC 2004»
    THEMATICS is Effective for Active Site Prediction in Comparative Model Structures
    13 years 9 months ago
    THEMATICS is Effective for Active Site Prediction in Comparative Model Structures
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    THEMATICS (Theoretical Microscopic Titration Curves) is a simple, reliable computational predictor of the active sites of enzymes from structure. Our method, based on well-establi...
    Ihsan A. Shehadi, Alper Uzun, Leonel F. Murga, Val...
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