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Phang C. Tai
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2010 – 2019
- 2011
- [j6]Hae-Jin Hu, Robert W. Harrison
, Phang C. Tai, Yi Pan:
Understandable learning machine system design for Transmembrane or Embedded Membrane segments prediction. Int. J. Data Min. Bioinform. 5(1): 38-51 (2011)
2000 – 2009
- 2009
- [j5]Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison
Novel efficient granular computing models for protein sequence motifs and structure information discovery. Int. J. Comput. Biol. Drug Des. 2(2): 168-186 (2009) - [c18]Jieyue He, Robert W. Harrison
Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction. BIBE 2009: 168-175 - 2008
- [j4]Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison
Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction. Int. J. Funct. Informatics Pers. Medicine 1(1): 8-25 (2008) - [p2]Jieyue He, Hae-Jin Hu, Bernard Chen, Phang C. Tai, Robert W. Harrison
Rule Extraction from SVM for Protein Structure Prediction. Rule Extraction from Support Vector Machines 2008: 227-252 - 2007
- [j3]Wei Zhong, Jieyue He, Robert W. Harrison
Clustering support vector machines for protein local structure prediction. Expert Syst. Appl. 32(2): 518-526 (2007) - [j2]Wei Zhong, Gulsah Altun, Xinmin Tian, Robert W. Harrison
Parallel protein secondary structure prediction schemes using Pthread and OpenMP over hyper-threading technology. J. Supercomput. 41(1): 1-16 (2007) - [c17]Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison
Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction. BIBE 2007: 379-386 - [c16]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 - [c15]Hae-Jin Hu, Hao Wang, Robert W. Harrison, Phang C. Tai, Yi Pan:
Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining. CIBCB 2007: 418-425 - 2006
- [j1]Jieyue He, Hae-Jin Hu, Robert W. Harrison
Transmembrane segments prediction and understanding using support vector machine and decision tree. Expert Syst. Appl. 30(1): 64-72 (2006) - [c14]Bernard Chen, Phang C. Tai, Robert W. Harrison
FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery. BIBE 2006: 20-26 - [c13]Gulsah Altun, Wei Zhong, Yi Pan, Phang C. Tai, Robert W. Harrison
A New Seed Selection Algorithm that Maximizes Local Structural Similarity in Proteins. EMBC 2006: 5822-5825 - [c12]Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan:
Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering. GrC 2006: 449-452 - [c11]Jieyue He, Wei Zhong, Robert W. Harrison
Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction. International Conference on Computational Science (2) 2006: 710-717 - 2005
- [c10]Bernard Chen, Robert W. Harrison
Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis. CSB Workshops 2005: 105-108 - [c9]Hae-Jin Hu, Phang C. Tai, Robert W. Harrison
Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier. CSB Workshops 2005: 213-214 - [c8]Wei Zhong, Gulsah Altun, Robert W. Harrison
Mining Protein Sequence Motifs Representing Common 3D Structures. CSB Workshops 2005: 215-216 - [c7]Jieyue He, Bernard Chen, Hae-Jin Hu, Robert W. Harrison
Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction. CSB Workshops 2005: 224-227 - [c6]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 - [p1]Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang C. Tai, Yi Pan:
Discovery of Local protein sequence motifs using Improved k-means Clustering Technique. Advances in Bioinformatics and Its Applications 2005 - 2004
- [c5]Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan:
Transmembrane segments prediction with support vector machine based on high performance encoding schemes. CIBCB 2004: 134-139 - [c4]Wei Zhong, Gulsah Altun, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan:
Factoring tertiary classification into binary classification improves neural network for protein secondary structure prediction. CIBCB 2004: 175-181 - [c3]Wei Zhong, Yi Pan, Robert W. Harrison
Protein secondary structure prediction using different encoding schemes and neural network architectures. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 74-79 - [c2]Hae-Jin Hu, Yi Pan, Robert W. Harrison
Protein secondary structure prediction using support vector machine with advanced encoding schemes. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 80-87 - [c1]Hai Deng, Robert W. Harrison
Alternative target functions for protein structure prediction with neural networks. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 100-107
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