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Research Area
Software
Sponsors
Lab Members
Publications
ITTC
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My research focuses on methods for machine learning, data
mining, and their applications to bioinformatics, systems biology, and cancer
research.
Machine
Learning/Data Mining
- 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. ICML¡¯07, 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
- Multi-class
feature selection for texture classification. Pattern Recognition Letters, vol. 27(14), pp. 1685-1691,
2006. Link
- Kernel-Based Distance Metric Learning for Microarray Data
Classification. BMC
Bioinformatics, 7:299, 2006. Link Codes
- SMO
Based Pruning Method for Sparse Least Squares Support Vector Machines. IEEE Transactions on Neural Networks,
vol. 16(6), pp. 1541-1546, 2005. Link
- 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.
- 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.
Biological
Network Discovery
- An
effective structure learning method for constructing gene networks. Bioinformatics,
22(11):1367-1374, 2006. Link
- Prediction
of Protein-protein Interactions Using Random Decision Forest Framework. Bioinformatics, 21(24):
4394-4400, 2005. Link Website
- 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
- Large-scale
protein-protein interaction prediction using novel kernel methods. International Journal of Data Mining
and Bioinformatics (in press).
Protein
Function Prediction
- Protein
function assignment through mining cross-species protein-protein
interactions, PLoS ONE, 3(2):
e1562, 2008. Link Software
Protein
Binding Site Prediction
Biomarker
Detection/Cancer Research
- Data-dependent Kernel Machines for Microarray Data
Classification, IEEE/ACM Transactions
on Computational Biology and Bioinformatics (TCBB), 4:583, 2007. Link
- 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
- Structural
risk minimization based gene expression profiling analysis. International Journal on
Bioinformatics Research and Applications, vol. 3(2), 153-169, 2007. 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
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Assistant Professor
Electrical Engineering and Computer Science Department
The University of Kansas
Lawrence, KS
Ph.D. Carnegie Mellon University
Pittsburgh, PA
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