Xue-wen Chen, Ph

Protein function assignment through mining cross-species protein-protein interactions, PLoS ONE, 3(2): e1562, 2008. Link Software

Improving Bayesian network structure learning with mutual information-based node ordering in the K2 algorithm, IEEE Transactions on Knowledge and Data Engineering, 20(5), May 2008. Abstract Software

Minimum Reference Set Based Feature Selection for Small Sample Classifications Proceedings of the 24^th International Conference on Machine Learning (ICML), 153 - 160, 2007. Link

Data-dependent Kernel Machines for Microarray Data Classification, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 4:583, 2007. Link

Machine Learning and Its applications to Biology, PLoS Computational Biology, vol. 3(6), e116, 2007. Link

Genome-wide Transcriptome Profiling of Region-specific Vulnerability to Oxidative Stress in the Hippocampus. Genomics, doi:10.1016/j.ygeno.2007.03.007, 2007. Link

Structural risk minimization based gene expression profiling analysis. International Journal on Bioinformatics Research and Applications, vol. 3(2), 153-169, 2007. Link

Large-scale protein-protein interaction prediction using novel kernel methods. International Journal of Data Mining and Bioinformatics (in press).

CpG Island Identification with higher order and variable order Markov Models. Data Mining in Biomedicine, series: Springer Optimization and Its Applications, vol. 7, Springer, 2007: 47-58. Link

Multi-class feature selection for texture classification. Pattern Recognition Letters, vol. 27(14), pp. 1685-1691, 2006. Link

An effective structure learning method for constructing gene networks. Bioinformatics, 22(11):1367-1374, 2006. Link

Margin based wrapper methods for gene identification using microarray. Neurocomputing, vol. 69 (16-18): 2236-2243, 2006. Link

Kernel-Based Distance Metric Learning for Microarray Data Classification. BMC Bioinformatics, 7:299, 2006. Link Codes

Domain based predictive models for protein-protein interaction prediction. EURASIP Journal on Applied Signal Processing, special issue in Bioinformatics, vol. 2006, Article ID 32767, 2006. Link

Comparison of one-class SVM and two-class SVM for Fold Recognition. LNCS: Neural Information Processing, vol. 4233: 140-149, Springer, 2006.

Prediction of Protein-protein Interactions Using Random Decision Forest Framework. Bioinformatics, 21(24): 4394-4400, 2005. Link Website

Bayesian Neural Network Approaches to Ovarian Cancer Identification from High-resolution Mass Spectrometry Data. Bioinformatics, 21 (suppl_1):i487-i494, 2005. Link

Ovarian Cancer Identification Based on Dimensionality Reduction for High-Throughput Mass Spectrometry Data. Bioinformatics, vol. 21(10), pp. 2200-2209, 2005. Link

SMO Based Pruning Method for Sparse Least Squares Support Vector Machines. IEEE Transactions on Neural Networks, vol. 16(6), pp. 1541-1546, 2005. Link

High Intrinsic Oxidative Stress May Underlie Selective Vulnerability of the Hippocampal CA1 Region. Mol. Brain Research, 140: 120-126, 2005. Link

Optimized Kernel Machine Based Cancer Classification Using Gene Expression Data. Proceedings of 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 268-274, 2005.

Protein Flexibility Modeling Using Kernel Based methods. International Joint Conference on Neural Networks, vol. 1:521-526, 2005.

Pruning Support Vectors for Imbalanced Data Classification. International Joint Conference on Neural Networks, vol. 3:1883-1888, 2005..

Feature reduction and morphological processing for hyperspectral image data. Applied Optics, vol. 43 (2), pp.1-10, 2004.

Locally Optimal Search Method for Identifying Genes from Microarray Data. The Eighth International Conference on Control, Automation, Robotics and Vision, vol. 2: 1037-1042, 2004.

Discovering Transcription Factor Binding Sites in the Yeast Saccharomyces Cerevisiae. Currents in Computational Molecular Biology, Eds. Gramada and Bourne, 461-462, 2004.

An Improved Branch and Bound Algorithm for Feature Selection. Pattern Recognition Letter, vol. 24(12), pp. 1925-1933, 2003. Link

Facial Expression Recognition: A Clustering-Based Approach. Pattern Recognition Letter, vol. 24 (9-10), pp. 1295-1302, 2003. Link

New training strategies for RBF neural networks for X-ray agricultural product inspection. Pattern Recognition, vol. 36(2), pp. 535-547, 2003.

Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification. Neural Networks, vol. 16:529-535, 2003.

Finding expressed genes using genetic algorithms and support vector machines. Proceedings of the 2003 IEEE Bioinformatics Conference, Stanford, 504-505, 2003.

Confidence-clustering supervised radial basis function neural networks. Proceeding of International Joint Conference on Neural Networks, 2: 20-24, 2003.