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| 2011 | ||
|---|---|---|
| 31 | Min Wu, Chee Keong Kwoh, Teresa M. Przytycka, Jing Li, Jie Zheng: Prediction of Trans-regulators of Recombination Hotspots in Mouse Genome. BIBM 2011: 57-62 | |
| 30 | Truc Viet Le, Chee Keong Kwoh, Eng Soon Teo, Kheng Hock Lee: Analyzing Trends of Hospital Length of Stay Using Phase-Type Distributions. ICDM Workshops 2011: 1026-1033 | |
| 29 | Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Jonathan Chan: Classification-assisted memetic algorithms for solving optimization problems with restricted equality constraint function mapping. IEEE Congress on Evolutionary Computation 2011: 1209-1216 | |
| 28 | Zhipeng Xie, Chee Keong Kwoh, Xiaoli Li, Min Wu: Construction of co-complex score matrix for protein complex prediction from AP-MS data. Bioinformatics [ISMB/ECCB] 27(13): 159-166 (2011) | |
| 27 | Truc Viet Le, Chee Keong Kwoh, Kheng Hock Lee, Eng Soon Teo: Trend Analysis of Length of Stay Data via Phase-Type Models. IJKDB 2(3): 37-51 (2011) | |
| 2010 | ||
| 26 | N. Baskaran, Chee Keong Kwoh, M. Hui Kam: Outcomes of gene association analysis of cancer microarray data are impacted by pre-processing algorithms. BIBM 2010: 228-233 | |
| 25 | T. T. Su Chinh, Stephanus Daniel Handoko, Chee Keong Kwoh, Christian Schönbach, Xiaoli Li: A possible mutation that enables H1N1 influenza a virus to escape antibody recognition. BIBM 2010: 81-84 | |
| 24 | Adrianto Wirawan, Chee Keong Kwoh, Bertil Schmidt: Multi-threaded vectorized distance matrix computation on the CELL/BE and x86/SSE2 architectures. Bioinformatics 26(10): 1368-1369 (2010) | |
| 23 | Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong: Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms. IEEE Trans. Evolutionary Computation 14(5): 740-758 (2010) | |
| 2009 | ||
| 22 | Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong: Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems. Australasian Conference on Artificial Intelligence 2009: 391-400 | |
| 21 | Adrianto Wirawan, Bertil Schmidt, Chee Keong Kwoh: Pairwise Distance Matrix Computation for Multiple Sequence Alignment on the Cell Broadband Engine. ICCS (1) 2009: 954-963 | |
| 20 | Tianyou Zhang, Xiuju Fu, Rick Siow Mong Goh, Chee Keong Kwoh, Gary Kee Khoon Lee: A GA-SVM Feature Selection Model Based on High Performance Computing Techniques. SMC 2009: 2653-2658 | |
| 19 | Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng: A core-attachment based method to detect protein complexes in PPI networks. BMC Bioinformatics 10: (2009) | |
| 18 | Adrianto Wirawan, Bertil Schmidt, Huiliang Zhang, Chee Keong Kwoh: High performance protein sequence database scanning on the Cell Broadband Engine. Scientific Programming 17(1-2): 97-111 (2009) | |
| 2008 | ||
| 17 | Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Meng-Hiot Lim: A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients. IEEE Congress on Evolutionary Computation 2008: 4031-4038 | |
| 16 | Deyu Zhou, Yulan He, Chee Keong Kwoh: From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions. Computational Intelligence in Biomedicine and Bioinformatics 2008: 397-421 | |
| 15 | Adrianto Wirawan, Chee Keong Kwoh, Nim Tri Hieu, Bertil Schmidt: CBESW: Sequence Alignment on the Playstation 3. BMC Bioinformatics 9: (2008) | |
| 14 | Guanglan Zhang, Asif M. Khan, Kellathur N. Srinivasan, A. T. Heiny, Kenneth X. Lee, Chee Keong Kwoh, J. Thomas August, Vladimir Brusic: Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes. BMC Bioinformatics 9(S-1): (2008) | |
| 13 | Deyu Zhou, Yulan He, Chee Keong Kwoh: Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model. IJBRA 4(1): 64-80 (2008) | |
| 2007 | ||
| 12 | Deyu Zhou, Yulan He, Chee Keong Kwoh: Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction. CIDM 2007: 674-680 | |
| 11 | Deyu Zhou, Yulan He, Chee Keong Kwoh: Training the Hidden Vector State Model from Un-annotated Corpus. International Conference on Computational Science (2) 2007: 378-385 | |
| 10 | Adrianto Wirawan, Chee Keong Kwoh, Bertil Schmidt: Parallel DNA Sequence Alignment on the Cell Broadband Engine. PPAM 2007: 1249-1256 | |
| 9 | Deyu Zhou, Yulan He, Chee Keong Kwoh, Hao Wang: Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering. PRIB 2007: 198-205 | |
| 8 | Deyu Zhou, Yulan He, Chee Keong Kwoh: Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions. Artificial Intelligence in Medicine 41(3): 209-222 (2007) | |
| 2006 | ||
| 7 | Yun Zheng, Chee Keong Kwoh: Informative MicroRNA Expression Patterns for Cancer Classification. BioDM 2006: 143-154 | |
| 6 | Seng Hong Seah, Chee Keong Kwoh, Vladimir Brusic, Meena Kishore Sakharkar, Geok See Ng: Functional Prediction of Snake Neurotoxins. ICARCV 2006: 1-4 | |
| 5 | Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Guanglan Zhang, Vladimir Brusic: Extreme Learning Machine for Predicting HLA-Peptide Binding. ISNN (2) 2006: 716-721 | |
| 4 | Deyu Zhou, Yulan He, Chee Keong Kwoh: Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model. International Conference on Computational Science (2) 2006: 718-725 | |
| 3 | Yun Zheng, Chee Keong Kwoh: Dynamic algorithm for inferring qualitative models of Gene Regulatory Networks. IJDMB 1(2): 111-137 (2006) | |
| 2 | Yun Zheng, Chee Keong Kwoh: Cancer Classification With MicroRNA Expression Patterns Found By An Information Theory Approach. JCP 1(5): 30-39 (2006) | |
| 2004 | ||
| 1 | Zonglin Zhou, Chee Keong Kwoh: The Pattern Classification Based on the Nearest Feature Midpoints. ICPR (3) 2004: 446-449 | |
Colors in the list of coauthors
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