Fang-Xiang Wu

Zhong-Ke Shi, Fang-Xiang Wu: Robust identification method for nonlinear model structures and its application to high-performance aircraft. Int. J. Systems Science 44(6): 1040-1051 (2013)

Bihai Zhao, Jianxin Wang, Fang-Xiang Wu, Yi Pan: Construction of Uncertain Protein-Protein Interaction Networks and Its Applications. ISBRA 2013: 286-297

Xijun Liang, Zhonghang Xia, Li-Wei Zhang, Fang-Xiang Wu: Inference of gene regulatory subnetworks from time course gene expression data. BMC Bioinformatics 13(S-9): S3 (2012)

Fang-Xiang Wu: Stability and Bifurcation of Ring-Structured Genetic Regulatory Networks With Time Delays. IEEE Trans. on Circuits and Systems 59-I(6): 1312-1320 (2012)

Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang: Inference of Biological S-System Using the Separable Estimation Method and the Genetic Algorithm. IEEE/ACM Trans. Comput. Biology Bioinform. 9(4): 955-965 (2012)

Jianxin Wang, Yuannan Huang, Fang-Xiang Wu, Yi Pan: Symmetry Compression Method for Discovering Network Motifs. IEEE/ACM Trans. Comput. Biology Bioinform. 9(6): 1776-1789 (2012)

Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang: Reverse engineering of gene regulatory networks from biological data. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 2(5): 365-385 (2012)

Bolin Chen, Jin-Hong Shi, Fang-Xiang Wu: Not AU protein complexes exhibit dense structures in S. cerevisiae PPI network. BIBM 2012: 1-4

Murtada Khalafallah Elbashir, Jianxin Wang, Fang-Xiang Wu: A hybrid approach of support vector machines with logistic regression for β-turn prediction. BIBM Workshops 2012: 587-593

Xijun Liang, Zhonghang Xia, Xinnan Niu, Andrew J. Link, Liping Pang, Fang-Xiang Wu, Hongwei Zhang: A fuzzy cluster-based algorithm for peptide identification. BIBM Workshops 2012: 602-609

Zheng Yuan, Jin-Hong Shi, Wenjun Lin, Bolin Chen, Fang-Xiang Wu: Features-Based Deisotoping Method for Tandem Mass Spectra. Adv. Bioinformatics 2011 (2011)

Jiarui Ding, Jin-Hong Shi, Fang-Xiang Wu: SVM-RFE based feature selection for tandem mass spectrum quality assessment. IJDMB 5(1): 73-88 (2011)

Fang-Xiang Wu: Global and Robust Stability Analysis of Genetic Regulatory Networks With Time-Varying Delays and Parameter Uncertainties. IEEE Trans. Biomed. Circuits and Systems 5(4): 391-398 (2011)

Fang-Xiang Wu, Jun Huan: Guest Editorial: Special Focus on Bioinformatics and Systems Biology. IEEE/ACM Trans. Comput. Biology Bioinform. 8(2): 292-293 (2011)

Long Cheng, Zeng-Guang Hou, Yingzi Lin, Min Tan, Wenjun Chris Zhang, Fang-Xiang Wu: Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks. IEEE Transactions on Neural Networks 22(5): 714-726 (2011)

Fang-Xiang Wu: Delay-Independent Stability of Genetic Regulatory Networks. IEEE Transactions on Neural Networks 22(11): 1685-1693 (2011)

Bolin Chen, Yan Yan, Jin-Hong Shi, Shenggui Zhang, Fang-Xiang Wu: An Improved Graph Entropy-based Method for Identifying Protein Complexes. BIBM 2011: 123-126

Jin-Hong Shi, Bolin Chen, Fang-Xiang Wu: Improve Accuracy of Peptide Identification with Consistency between Peptides. BIBM 2011: 191-196

Li-Ping Tian, Fang-Xiang Wu: Delay-Dependent Stability for Genetic Regulatory Networks. BIBM 2011: 197-201

Xijun Liang, Zhonghang Xia, Li-Wei Zhang, Fang-Xiang Wu: Modeling Gene Regulatory Subnetworks from Time Course Gene Expression Data. BIBM 2011: 216-221

Li-Ping Tian, Fang-Xiang Wu: Globally delay-independent stability of ring-structured genetic regulatory networks. CCECE 2011: 308-311

Jian Zhang, Ian McQuillan, Fang-Xiang Wu: Parallelizing Peptide-Spectrum scoring using modern graphics processing units. ICCABS 2011: 208-213

Fang-Xiang Wu, Mohammed Javeed Zaki, Shinichi Morishita, Yi Pan, Stephen Wong, Anastasia Christianson, Xiaohua Hu (Eds.): IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011, Atlanta, GA, USA, 12-15 November, 2011. IEEE 2011, isbn 978-1-4577-1799-4

Fang-Xiang Wu, Lei Mu, Zhong-Ke Shi: Estimation of parameters in rational reaction rates of molecular biological systems via weighted least squares. Int. J. Systems Science 41(1): 73-80 (2010)

Fang-Xiang Wu, Wen-Jun Zhang: Dynamic-model-based method for selecting significantly expressed genes from time-course expression profiles. IEEE Transactions on Information Technology in Biomedicine 14(1): 16-22 (2010)

An-Min Zou, Jin-Hong Shi, Jiarui Ding, Fang-Xiang Wu: Charge state determination of peptide tandem mass spectra using support vector machine (SVM). IEEE Transactions on Information Technology in Biomedicine 14(3): 552-558 (2010)

Jin-Hong Shi, Fang-Xiang Wu: Peptide charge state determination of tandem mass spectra from low-resolution collision induced dissociation. BIBM 2010: 234-239

Li-Zhi Liu, Fang-Xiang Wu, Li-Li Han, Wen-Jun Zhang: Structure identification and parameter estimation of biological s-systems. BIBM 2010: 329-334

Fang-Xiang Wu: Delay-Independent Stability of Genetic Regulatory Networks with Time Delays. Advances in Complex Systems 12(1): 3-19 (2009)

An-Min Zou, Fang-Xiang Wu, Jiarui Ding, Guy G. Poirier: Quality assessment of tandem mass spectra using support vector machine (SVM). BMC Bioinformatics 10(S-1) (2009)

Chushin Koh, Fang-Xiang Wu, Gopalan Selvaraj, Anthony J. Kusalik: Using a State-Space Model and Location Analysis to Infer Time-Delayed Regulatory Networks. EURASIP J. Bioinformatics and Systems Biology 2009 (2009)

Fang-Xiang Wu, Zhonghang Xia, Lei Mu: Finding Significantly Expressed genes from time-course expression profiles. IJBRA 5(1): 50-63 (2009)

Xiaohua Hu, Michael K. Ng, Fang-Xiang Wu, Bahrad A. Sokhansanj: Mining, Modeling, and Evaluation of Subnetworks From Large Biomolecular Networks and Its Comparison Study. IEEE Transactions on Information Technology in Biomedicine 13(2): 184-194 (2009)

Xiyi Hang, Wei Dai, Fang-Xiang Wu: Subspace pursuit for gene profile classificaiton. GENSiPS 2009: 1-4

Fang-Xiang Wu: Genetic weighted k-means algorithm for clustering large-scale gene expression data. BMC Bioinformatics 9(S-6) (2008)

Fang-Xiang Wu, Pierre Gagné, Arnaud Droit, Guy G. Poirier: Quality assessment of peptide tandem mass spectra. BMC Bioinformatics 9(S-6) (2008)

Fang-Xiang Wu: Gene Regulatory Network modelling: a state-space approach. IJDMB 2(1): 1-14 (2008)

Fang-Xiang Wu, Jiarui Ding, Guy G. Poirier: An approach to assessing peptide mass spectral quality without prior information. I. J. Functional Informatics and Personalised Medicine 1(2): 140-155 (2008)

Fang-Xiang Wu: Stability and oscillation of genetic regulatory networks with time delays. BIBE 2008: 1-6

An-Min Zou, Jiarui Ding, Jin-Hong Shi, Fang-Xiang Wu: Charge state determination of peptide tandem mass spectra using support vector machine (SVM). BIBE 2008: 1-6

Fang-Xiang Wu: Detecting Significantly Expressed Genes from Their Time-Course Expression Profiles and Its Validation. BIBM 2008: 170-175

Jiarui Ding, Jin-Hong Shi, An-Min Zou, Fang-Xiang Wu: Feature Selection for Tandem Mass Spectrum Quality Assessment. BIBM 2008: 310-313

Zeng-Guang Hou, An-Min Zou, Fang-Xiang Wu, Long Cheng, Min Tan: Adaptive dynamic surface control of a class of uncertain nonlinear systems in pure-feedback form using fuzzy backstepping approach. CASE 2008: 821-826

Xiaohua Hu, Fang-Xiang Wu: Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks. BMC Bioinformatics 8 (2007)

Fang-Xiang Wu, Jiarui Ding, Guy G. Poirier: A Framework for Mass Spectral Quality Assessment without Prior Information. BIBE 2007: 1419-1423

Xiaohua Hu, Fang-Xiang Wu, Michael K. Ng, Bahrad A. Sokhansanj: Mining and Dynamic Simulation of Sub-Networks from Large Biomolecular Networks. IC-AI 2007: 806-813

Fang-Xiang Wu: A Genetic Weighted K-means Algorithm for Clustering Gene Expression Data. IMSCCS 2007: 68-75

Fang-Xiang Wu: Significance Analysis of Time-Course Gene Expression Profiles. ISBRA 2007: 13-24

Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik: Determination of the minimum number of microarray experiments for discovery of gene expression patterns. BMC Bioinformatics 7(S-4) (2006)

Chenhong Zhang, Mikelis G. Bickis, Fang-Xiang Wu, Anthony J. Kusalik: Optimally-connected Hidden Markov Models for Predicting Mhc-binding Peptides. J. Bioinformatics and Computational Biology 4(5): 959-980 (2006)

Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik: On Determination of Minimum Sample Size for Discovery of Temporal Gene Expression Patterns. IMSCCS (1) 2006: 96-103

Fang-Xiang Wu, Pierre Gagné, Arnaud Droit, Guy G. Poirier: Quality Assessment of Peptide Tandem Mass Spectra. IMSCCS (1) 2006: 243-250

Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik: Dynamic Model-based Clustering for Time-course Gene Expression Data. J. Bioinformatics and Computational Biology 3(4): 821-836 (2005)

Fang-Xiang Wu, Anthony J. Kusalik, Wen-Jun Zhang: Genetic Weighted K-means for Large-Scale Clustering Problems. FLAIRS Conference 2005: 864-865

Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik: Model-Based Clustering with Genes Expression Dynamics for Time-Course Gene Expression Data. BIBE 2004: 267-274

Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik: State-Space Model for Gene Regulatory Networks with Time Delays. CSB 2004: 454-455

Fang-Xiang Wu, Anthony J. Kusalik, Wen-Jun Zhang: A. Genetic Algorithm for Inferring Time Delays in Gene Regulatory Networks. CSB 2004: 610-611

Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik: Modeling Gene Expression from Microarray Expression Data with State-Space Equations. Pacific Symposium on Biocomputing 2004: 581-592

Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik: A Genetic K-means Clustering Algorithm Applied to Gene Expression Data. Canadian Conference on AI 2003: 520-526

Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik: An Algorithm to Reconstruct a Target DNA Sequence from Its Spectrum Connected at a Given Level. BIBE 2003: 201-205

Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik: Determination of the Minimum Sample Size in Microarray Experiments to Cluster Genes Using K-means Clustering. BIBE 2003: 401-406

Puren Ouyang, Wen-Jun Zhang, Fang-Xiang Wu: Nonlinear PD Control for Trajectory Tracking with Consideration of the Design for Control Methodology. ICRA 2002: 4126-4131