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Bernard Chen: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
    FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery. [Citation Graph (0, 0)][DBLP]
    BIBE, 2006, pp:20-26 [Conf]
  2. Bernard Chen, Robert Harrison, Yi Pan, Phang C. Tai
    Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:105-108 [Conf]
  3. Jieyue He, Bernard Chen, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan
    Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:224-227 [Conf]
  4. Hung Kha, Bernard Chen, Graeme Clark, Rhys Jones
    Finite element modeling of final placement and insertion depth of new cochlear implant electrode array embedded with nitinol shape memory alloy actuators. [Citation Graph (0, 0)][DBLP]
    MSV, 2006, pp:27-32 [Conf]
  5. Xuezheng Fu, Bernard Chen, Yi Pan, Robert W. Harrison
    Statistical Estimate for the Size of the Protein Structural Vocabulary. [Citation Graph (0, 0)][DBLP]
    ISBRA, 2007, pp:530-538 [Conf]

  6. Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction. [Citation Graph (, )][DBLP]


  7. Soft Tissue Deformation and Optimized Data Structures for Mass Spring Methods. [Citation Graph (, )][DBLP]


  8. Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs. [Citation Graph (, )][DBLP]


  9. Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction. [Citation Graph (, )][DBLP]


  10. Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm. [Citation Graph (, )][DBLP]


  11. Protein local 3D structure prediction by Super Granule Support Vector Machines (Super GSVM). [Citation Graph (, )][DBLP]


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