Phang C. Tai

26 papers C 7Misc 2Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2011 J jnl
Understandable learning machine system design for Transmembrane or Embedded Membrane segments prediction.
Int. J. Data Min. Bioinform.
Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan
2009 J jnl
Novel efficient granular computing models for protein sequence motifs and structure information discovery.
Int. J. Comput. Biol. Drug Des.
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2009 C conf
Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction.
BIBE
Jieyue He, Robert W. Harrison, Phang C. Tai, Yi Pan
2008 J jnl
Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction.
Int. J. Funct. Informatics Pers. Medicine
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2008 — ch.
Rule Extraction from SVM for Protein Structure Prediction.
Rule Extraction from Support Vector Machines
Jieyue He, Hae-Jin Hu, Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
2007 J jnl
Clustering support vector machines for protein local structure prediction.
Expert Syst. Appl.
Wei Zhong, Jieyue He, Robert W. Harrison, Phang C. Tai, Yi Pan
2007 J jnl
Parallel protein secondary structure prediction schemes using Pthread and OpenMP over hyper-threading technology.
J. Supercomput.
Wei Zhong, Gulsah Altun, Xinmin Tian, Robert W. Harrison, Phang C. Tai, Yi Pan
2007 C conf
Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction.
CIBCB
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2007 C conf
Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction.
BIBE
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2007 C conf
Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining.
CIBCB
Hae-Jin Hu, Hao Wang, Robert W. Harrison, Phang C. Tai, Yi Pan
2006 — conf
A New Seed Selection Algorithm that Maximizes Local Structural Similarity in Proteins.
EMBC
Gulsah Altun, Wei Zhong, Yi Pan, Phang C. Tai, Robert W. Harrison
2006 Misc conf
Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction.
International Conference on Computational Science (2)
Jieyue He, Wei Zhong, Robert W. Harrison, Phang C. Tai, Yi Pan
2006 C conf
FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery.
BIBE
Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
2006 Misc conf
Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering.
GrC
Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
2006 J jnl
Transmembrane segments prediction and understanding using support vector machine and decision tree.
Expert Syst. Appl.
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan
2005 — ch.
Discovery of Local protein sequence motifs using Improved k-means Clustering Technique.
Advances in Bioinformatics and Its Applications
Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang C. Tai, Yi Pan
2005 — conf
Mining Protein Sequence Motifs Representing Common 3D Structures.
CSB Workshops
Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang C. Tai, Yi Pan
2005 — conf
Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis.
CSB Workshops
Bernard Chen, Robert W. Harrison, Yi Pan, Phang C. Tai
2005 — conf
Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier.
CSB Workshops
Hae-Jin Hu, Phang C. Tai, Robert W. Harrison, Jieyue He, Yi Pan
2005 — conf
Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction.
CSB Workshops
Jieyue He, Bernard Chen, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan
2005 — conf
Understanding Protein Structure Prediction Using SVM_DT.
ISPA Workshops
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan
2004 — conf
Alternative target functions for protein structure prediction with neural networks.
Data Mining and Knowledge Discovery: Theory, Tools, and Technology
Hai Deng, Robert W. Harrison, Yi Pan, Phang C. Tai
2004 C conf
Factoring tertiary classification into binary classification improves neural network for protein secondary structure prediction.
CIBCB
Wei Zhong, Gulsah Altun, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan
2004 — conf
Protein secondary structure prediction using different encoding schemes and neural network architectures.
Data Mining and Knowledge Discovery: Theory, Tools, and Technology
Wei Zhong, Yi Pan, Robert W. Harrison, Phang C. Tai
2004 — conf
Protein secondary structure prediction using support vector machine with advanced encoding schemes.
Data Mining and Knowledge Discovery: Theory, Tools, and Technology
Hae-Jin Hu, Yi Pan, Robert W. Harrison, Phang C. Tai
2004 C conf
Transmembrane segments prediction with support vector machine based on high performance encoding schemes.
CIBCB
Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan