Generalized LDA using relevance weighting and evolution strategy. - E. Ke Tang; Ponnuthurai N. Suganthan; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2004)

Nonlinear Feature Extraction Using Evolutionary Algorithm. - E. Ke Tang; Ponnuthurai N. Suganthan; Xin Yao 001 (ICONIP, 2004)

Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization. - E. Ke Tang; Ponnuthurai N. Suganthan; Xin Yao 001 (CIBCB, 2005)

Linear dimensionality reduction using relevance weighted LDA. - E. Ke Tang; Ponnuthurai N. Suganthan; Xin Yao 001; A. Kai Qin (Pattern Recognit., 2005)

Feature Selection Approach for Quantitative Prediction of Transcriptional Activities. - Ashish Anand; Gary B. Fogel; E. Ke Tang; Ponnuthurai N. Suganthan (CIBCB, 2006)

Gene selection algorithms for microarray data based on least squares support vector machine. - E. Ke Tang; Ponnuthurai N. Suganthan; Xin Yao 001 (BMC Bioinform., 2006)

An analysis of diversity measures. - E. Ke Tang; Ponnuthurai N. Suganthan; Xin Yao 001 (Mach. Learn., 2006)

A machine learning approach for the identification of odorant binding proteins from sequence-derived properties. - Ganesan Pugalenthi; E. Ke Tang; Ponnuthurai N. Suganthan; Govindaraju Archunan; Ramanathan Sowdhamini (BMC Bioinform., 2007)

Identification of structurally conserved residues of proteins in absence of structural homologs using neural network ensemble. - Ganesan Pugalenthi; E. Ke Tang; Ponnuthurai N. Suganthan; Saikat Chakrabarti 001 (Bioinform., 2009)