Phang C. Tai

	2009
16		Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert Harrison, Yi Pan: Novel efficient granular computing models for protein sequence motifs and structure information discovery. I. J. Computational Biology and Drug Design 2(2): 168-186 (2009)
	2008
15		Jieyue He, Hae-Jin Hu, Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan: Rule Extraction from SVM for Protein Structure Prediction. Rule Extraction from Support Vector Machines 2008: 227-252
14		Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert Harrison, Yi Pan: Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction. I. J. Functional Informatics and Personalised Medicine 1(1): 8-25 (2008)
	2007
13		Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan: Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction. BIBE 2007: 379-386
12		Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan: Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction. CIBCB 2007: 317-322
11		Hae-Jin Hu, Hao Wang, Robert Harrison, Phang C. Tai, Yi Pan: Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining. CIBCB 2007: 418-425
10		Wei Zhong, Jieyue He, Robert W. Harrison, Phang C. Tai, Yi Pan: Clustering support vector machines for protein local structure prediction. Expert Syst. Appl. 32(2): 518-526 (2007)
9		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. The Journal of Supercomputing 41(1): 1-16 (2007)
	2006
8		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. BIBE 2006: 20-26
7		Jieyue He, Wei Zhong, Robert W. Harrison, Phang C. Tai, Yi Pan: Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction. International Conference on Computational Science (2) 2006: 710-717
6		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. Expert Syst. Appl. 30(1): 64-72 (2006)
	2005
5		Bernard Chen, Robert W. Harrison, Yi Pan, Phang C. Tai: Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis. CSB Workshops 2005: 105-108
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. CSB Workshops 2005: 213-214
3		Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang C. Tai, Yi Pan: Mining Protein Sequence Motifs Representing Common 3D Structures. CSB Workshops 2005: 215-216
2		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. CSB Workshops 2005: 224-227
1		Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan: Understanding Protein Structure Prediction Using SVM_DT. ISPA Workshops 2005: 203-212

Coauthor Index

1	Gulsah Altun	[3] [9]
2	Bernard Chen	[2] [5] [8] [12] [13] [14] [15] [16]
3	Yisheng Dong	[1] [2]
4	Robert Harrison	[11] [14] [16]
5	Robert W. Harrison	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [12] [13] [15]
6	Jieyue He	[1] [2] [4] [6] [7] [10] [15]
7	Hae-Jin Hu	[1] [2] [4] [6] [11] [15]
8	Yi Pan	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16]
9	Stephen Pellicer	[12] [13] [14] [16]
10	Xinmin Tian	[9]
11	Hao Wang	[11]
12	Wei Zhong	[3] [7] [9] [10]