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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]