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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/15510

    Title: Choquet Integral Algorithm for T-cell Epitope Prediction Based on Fuzzy Measure.
    Authors: 蔡政芳;Tsai, Cheng-Fang
    Contributors: 生物科技學系
    Keywords: "epitope;T-cell;antigen;physicochemical property;fuzzy measure;fuzzy integral;SVM"
    Date: 2011-07
    Issue Date: 2012-11-23 11:39:58 (UTC+8)
    Abstract: "Epitope is an antigen segment which is recognized by
    the immune system specifically and induces immune response. To
    accurately predict epitopes is essential in vaccine design that is
    one goal of immunoinformatics. In this study, we consider the
    coupling effects of physicochemical properties in an amino acid
    with fuzzy theory to improve the prediction accuracy."
    Relation: The 8th International Conference on Fuzzy Systems and Knowledge Discovery
    Appears in Collections:[生物科技學系] 會議論文

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