Phang C. Tai

Publication Activity (10 Years)

Years Active: 2004-2011
Publications (10 Years): 0

Publications

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) (2011)
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
Novel efficient granular computing models for protein sequence motifs and structure information discovery. Int. J. Comput. Biol. Drug Des. 2 (2) (2009)
Jieyue He, Robert W. Harrison, Phang C. Tai, Yi Pan
Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction. BIBE (2009)
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction. Int. J. Funct. Informatics Pers. Medicine 1 (1) (2008)
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. J. Supercomput. 41 (1) (2007)
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) (2007)
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)
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)
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)
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)
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)
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)
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)
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) (2006)
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)
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)
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)
Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang C. Tai, Yi Pan
Mining Protein Sequence Motifs Representing Common 3D Structures. CSB Workshops (2005)
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)
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)
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)
Wei Zhong, Yi Pan, Robert W. Harrison, Phang C. Tai
Protein secondary structure prediction using different encoding schemes and neural network architectures. Data Mining and Knowledge Discovery: Theory, Tools, and Technology (2004)
Hae-Jin Hu, Yi Pan, Robert W. Harrison, Phang C. Tai
Protein secondary structure prediction using support vector machine with advanced encoding schemes. Data Mining and Knowledge Discovery: Theory, Tools, and Technology (2004)
Hai Deng, Robert W. Harrison, Yi Pan, Phang C. Tai
Alternative target functions for protein structure prediction with neural networks. Data Mining and Knowledge Discovery: Theory, Tools, and Technology (2004)