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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 會議論文  >  Feature selection and combination criteria for improving predictive accuracy in protein structure classification

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/13926

    Title: Feature selection and combination criteria for improving predictive accuracy in protein structure classification
    Authors: Lin,Chun Yuan
    Yang,Chiao Yun
    Tang,Chuan Yi
    Hsu,D. Frank
    Date: 2005
    Publisher: Institute of Electrical and Electronics Engineers Computer Society
    Keywords: Proteins
    Molecular structure
    Computational methods
    Molecular biology
    Data reduction
    Feature extraction
    Abstract: The classification of protein structures is essential for their function determination in bioinformatics. The success of the protein structure classification depends on two factors: the computational methods used and the features selected. In this paper, we use a combinatorial fusion analysis technique to facilitate feature selection and combination for improving predictive accuracy in protein structure classification. When applying these criteria to our previous work, the resulting classification has an overall prediction accuracy rate of 87% for four classes and 69.6% for 27 folding categories. These rates are significantly higher than our previous work and demonstrate that combinatorial fusion is a valuable method for protein structure classification.
    Relation Link: http://webservices.ieee.org/pindex_basic.html
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/13926
    Appears in Collections:[資訊工程學系] 會議論文
    [資訊系統與應用研究所] 會議論文
    [電腦與通訊科技研發中心] 會議論文
    [腦科學研究中心] 會議論文

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