Transmembrane segments prediction with support vector machine based on high performance encoding schemes. - Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (CIBCB, 2004)

Factoring tertiary classification into binary classification improves neural network for protein secondary structure prediction. - Wei Zhong; Gulsah Altun; Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (CIBCB, 2004)

Alternative target functions for protein structure prediction with neural networks. - Hai Deng; Robert W. Harrison; Yi Pan 001; Phang C. Tai (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2004)

Protein secondary structure prediction using support vector machine with advanced encoding schemes. - Hae-Jin Hu; Yi Pan 001; Robert W. Harrison; Phang C. Tai (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2004)

Protein secondary structure prediction using different encoding schemes and neural network architectures. - Wei Zhong; Yi Pan 001; Robert W. Harrison; Phang C. Tai (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2004)

Discovery of Local protein sequence motifs using Improved k-means Clustering Technique. - Wei Zhong; Gulsah Altun; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (Advances in Bioinformatics and Its Applications, 2005)

Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis. - Bernard Chen 001; Robert W. Harrison; Yi Pan 001; Phang C. Tai (CSB Workshops, 2005)

Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction. - Jieyue He; Bernard Chen 001; Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yisheng Dong; Yi Pan 001 (CSB Workshops, 2005)

Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier. - Hae-Jin Hu; Phang C. Tai; Robert W. Harrison; Jieyue He; Yi Pan 001 (CSB Workshops, 2005)

Mining Protein Sequence Motifs Representing Common 3D Structures. - Wei Zhong; Gulsah Altun; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (CSB Workshops, 2005)

Understanding Protein Structure Prediction Using SVM_DT. - Jieyue He; Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yisheng Dong; Yi Pan 001 (ISPA Workshops, 2005)

FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery. - Bernard Chen 001; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (BIBE, 2006)

A New Seed Selection Algorithm that Maximizes Local Structural Similarity in Proteins. - Gulsah Altun; Wei Zhong; Yi Pan 001; Phang C. Tai; Robert W. Harrison (EMBC, 2006)

Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering. - Bernard Chen 001; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (GrC, 2006)

Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction. - Jieyue He; Wei Zhong; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (International Conference on Computational Science (2), 2006)

Transmembrane segments prediction and understanding using support vector machine and decision tree. - Jieyue He; Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (Expert Syst. Appl., 2006)

Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction. - Bernard Chen 001; Stephen Pellicer; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (BIBE, 2007)

Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction. - Bernard Chen 001; Stephen Pellicer; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (CIBCB, 2007)

Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining. - Hae-Jin Hu; Hao Wang 003; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (CIBCB, 2007)

Clustering support vector machines for protein local structure prediction. - Wei Zhong; Jieyue He; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (Expert Syst. Appl., 2007)

Parallel protein secondary structure prediction schemes using Pthread and OpenMP over hyper-threading technology. - Wei Zhong; Gulsah Altun; Xinmin Tian; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (J. Supercomput., 2007)

Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction. - Bernard Chen 001; Stephen Pellicer; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (Int. J. Funct. Informatics Pers. Medicine, 2008)

Rule Extraction from SVM for Protein Structure Prediction. - Jieyue He; Hae-Jin Hu; Bernard Chen 001; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (Rule Extraction from Support Vector Machines, 2008)

Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction. - Jieyue He; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (BIBE, 2009)

Novel efficient granular computing models for protein sequence motifs and structure information discovery. - Bernard Chen 001; Stephen Pellicer; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (Int. J. Comput. Biol. Drug Des., 2009)

Understandable learning machine system design for Transmembrane or Embedded Membrane segments prediction. - Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (Int. J. Data Min. Bioinform., 2011)