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Phang C. Tai: [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. Hae-Jin Hu, Phang C. Tai, Robert W. Harrison, Jieyue He, Yi Pan
    Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:213-214 [Conf]
  5. Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang C. Tai, Yi Pan
    Mining Protein Sequence Motifs Representing Common 3D Structures. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:215-216 [Conf]
  6. Jieyue He, Wei Zhong, Robert Harrison, Phang C. Tai, Yi Pan
    Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (2), 2006, pp:710-717 [Conf]
  7. Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan
    Understanding Protein Structure Prediction Using SVM_DT. [Citation Graph (0, 0)][DBLP]
    ISPA Workshops, 2005, pp:203-212 [Conf]
  8. Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan
    Transmembrane segments prediction and understanding using support vector machine and decision tree. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2006, v:30, n:1, pp:64-72 [Journal]
  9. Wei Zhong, Jieyue He, Robert W. Harrison, Phang C. Tai, Yi Pan
    Clustering support vector machines for protein local structure prediction. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:32, n:2, pp:518-526 [Journal]
  10. Wei Zhong, Gulsah Altun, Xinmin Tian, Robert W. Harrison, Phang C. Tai, Yi Pan
    Parallel protein secondary structure prediction schemes using Pthread and OpenMP over hyper-threading technology. [Citation Graph (0, 0)][DBLP]
    The Journal of Supercomputing, 2007, v:41, n:1, pp:1-16 [Journal]

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


  12. Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction. [Citation Graph (, )][DBLP]


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


  14. Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining. [Citation Graph (, )][DBLP]


  15. Alternative target functions for protein structure prediction with neural networks. [Citation Graph (, )][DBLP]


  16. Protein secondary structure prediction using different encoding schemes and neural network architectures. [Citation Graph (, )][DBLP]


  17. Protein secondary structure prediction using support vector machine with advanced encoding schemes. [Citation Graph (, )][DBLP]


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