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Zheng Rong Yang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Zheng Rong Yang, Mark Zwolinski
    Fast, Robust DC and Transient Fault Simulation for Nonlinear Analog Circuits. [Citation Graph (0, 0)][DBLP]
    DATE, 1999, pp:244-248 [Conf]
  2. Zheng Rong Yang, Natasha Young
    Bio-kernel Self-organizing Map for HIV Drug Resistance Classification. [Citation Graph (0, 0)][DBLP]
    ICNC (1), 2005, pp:179-186 [Conf]
  3. Emily A. Berry, Zheng Rong Yang, Xikun Wu
    A Biology Inspired Neural Learning Algorithm for Analysing Protein Sequence. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2003, pp:18-25 [Conf]
  4. Zheng Rong Yang
    Stability Analysis of Financial Ratios. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2000, pp:256-261 [Conf]
  5. Zheng Rong Yang
    Bayesian Radial Basis Function Neural Network. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2005, pp:211-219 [Conf]
  6. Zheng Rong Yang
    A Fast Algorithm for Relevance Vector Machine. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:33-39 [Conf]
  7. Zheng Rong Yang, Mark Zwolinski
    Applying Mutual Information to Adaptive Mixture Models. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2000, pp:250-255 [Conf]
  8. Natasha Young, Zheng Rong Yang
    Multivariate Crosstalk Models. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:1129-1136 [Conf]
  9. Zheng Rong Yang, Robert G. Harrison, Weiping Lu
    Identifying Health Inequalities Using Artificial Neural Networks (WHO Data). [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:113-118 [Conf]
  10. Zheng Rong Yang, Weiping Lu, Dejin Yu, Robert G. Harrison
    Detecting False Benign in Breast Cancer Diagnosis. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:655-658 [Conf]
  11. Ajit Narayanan, Xikun Wu, Zheng Rong Yang
    Mining viral protease data to extract cleavage knowledge. [Citation Graph (0, 0)][DBLP]
    ISMB, 2002, pp:5-13 [Conf]
  12. Zheng Rong Yang
    Biological applications of support vector machines. [Citation Graph (0, 0)][DBLP]
    Briefings in Bioinformatics, 2004, v:5, n:4, pp:328-338 [Journal]
  13. Rebecca Thomson, T. Charles Hodgman, Zheng Rong Yang, Austin K. Doyle
    Characterizing proteolytic cleavage site activity using bio-basis function neural networks. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:14, pp:1741-1747 [Journal]
  14. Zheng Rong Yang
    Mining gene expression data based on template theory. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:16, pp:2759-2766 [Journal]
  15. Zheng Rong Yang
    Prediction of caspase cleavage sites using Bayesian bio-basis function neural networks. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:9, pp:1831-1837 [Journal]
  16. Zheng Rong Yang
    Mining SARS-CoV protease cleavage data using non-orthogonal decision trees: a novel method for decisive template selection. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:11, pp:2644-2650 [Journal]
  17. Zheng Rong Yang, Kuo-Chen Chou
    Bio-support vector machines for computational proteomics. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:5, pp:735-741 [Journal]
  18. Zheng Rong Yang, Kuo-Chen Chou
    Predicting the linkage sites in glycoproteins using bio-basis function neural network. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:6, pp:903-908 [Journal]
  19. Zheng Rong Yang, Andrew R. Dalby, Jing Qiu
    Mining HIV protease cleavage data using genetic programming with a sum-product function. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:18, pp:3398-3405 [Journal]
  20. Zheng Rong Yang, Rebecca Thomson, Philip McNeil, Robert Esnouf
    RONN: the bio-basis function neural network technique applied to the detection of natively disordered regions in proteins. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:16, pp:3369-3376 [Journal]
  21. Emily A. Berry, Andrew R. Dalby, Zheng Rong Yang
    Reduced bio basis function neural network for identification of protein phosphorylation sites: comparison with pattern recognition algorithms. [Citation Graph (0, 0)][DBLP]
    Computational Biology and Chemistry, 2004, v:28, n:1, pp:75-85 [Journal]
  22. Zheng Rong Yang, Robert G. Harrison
    Analysing company performance using templates. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2002, v:6, n:1, pp:3-15 [Journal]
  23. Zheng Rong Yang, Emily A. Berry
    Reduced Bio-basis Function Neural Networks for Protease Cleavage Site Prediction. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2004, v:2, n:3, pp:511-532 [Journal]
  24. Pasak Senawongse, Andrew R. Dalby, Zheng Rong Yang
    Predicting the Phosphorylation Sites Using Hidden Markov Models and Machine Learning Methods. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2005, v:45, n:4, pp:1147-1152 [Journal]
  25. Vishwesh Venkatraman, Andrew R. Dalby, Zheng Rong Yang
    Evaluation of Mutual Information and Genetic Programming for Feature Selection in QSAR. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:5, pp:1686-1692 [Journal]
  26. Zheng Rong Yang, Kuo-Chen Chou
    Mining Biological Data Using Self-Organizing Map. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 2003, v:43, n:6, pp:1748-1753 [Journal]
  27. Zheng Rong Yang, Felicia Charles Johnson
    Prediction of T-Cell Epitopes Using Biosupport Vector Machines. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2005, v:45, n:5, pp:1424-1428 [Journal]
  28. Zheng Rong Yang, Sheng Chen
    Robust maximum likelihood training of heteroscedastic probabilistic neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1998, v:11, n:4, pp:739-747 [Journal]
  29. Zheng Rong Yang, Jonathan Dry, Rebecca Thomson, T. Charles Hodgman
    A bio-basis function neural network for protein peptide cleavage activity characterisation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:4, pp:401-407 [Journal]
  30. Zheng Rong Yang, Weiping Lu, Robert G. Harrison
    Evolving Stacked Time Series Predictors with Multiple Window Scales and Sampling Gaps. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2001, v:13, n:3, pp:203-211 [Journal]
  31. Zheng Rong Yang, Mark Zwolinski
    Mutual Information Theory for Adaptive Mixture Models. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:4, pp:396-403 [Journal]
  32. Zheng Rong Yang, Mark Zwolinski, Chris D. Chalk, Alan Christopher Williams
    Applying a robust heteroscedastic probabilistic neural network toanalog fault detection and classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. on CAD of Integrated Circuits and Systems, 2000, v:19, n:1, pp:142-151 [Journal]
  33. Zheng Rong Yang
    Orthogonal kernel Machine for the prediction of functional sites in proteins. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:1, pp:100-106 [Journal]
  34. David C. Trudgian, Zheng Rong Yang
    Substitution Matrix Optimisation for Peptide Classification. [Citation Graph (0, 0)][DBLP]
    EvoBIO, 2007, pp:291-300 [Conf]
  35. Zheng Rong Yang
    Predicting Palmitoylation Sites Using a Regularised Bio-basis Function Neural Network. [Citation Graph (0, 0)][DBLP]
    ISBRA, 2007, pp:406-417 [Conf]

  36. A Sparse Bayesian Position Weighted Bio-Kernel Network. [Citation Graph (, )][DBLP]


  37. Single-Layer Neural Net Competes with Multi-layer Neural Net. [Citation Graph (, )][DBLP]


  38. Predicting HIV-1 T Cell Epitopes Using Bio-basis Function Neural Networks. [Citation Graph (, )][DBLP]


  39. Improved Prediction of HIV-1 Protease Genotypic Resistance Testing Assays using a Consensus Technique. [Citation Graph (, )][DBLP]


  40. Peptide Classification with Genetic Programming Ensemble of Generalised Indicator Models. [Citation Graph (, )][DBLP]


  41. Crosstalk and Signalling Pathway Complexity - A Case Study on Synthetic Models. [Citation Graph (, )][DBLP]


  42. Explore Residue Significance in Peptide Classification. [Citation Graph (, )][DBLP]


  43. A genetic programming approach for Burkholderia Pseudomallei diagnostic pattern discovery. [Citation Graph (, )][DBLP]


  44. Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy. [Citation Graph (, )][DBLP]


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