Zheng Rong Yang

2008
45	EE	Zheng Rong Yang: Crosstalk and Signalling Pathway Complexity - A Case Study on Synthetic Models. HAIS 2008: 696-705
44	EE	Zheng Rong Yang: Explore Residue Significance in Peptide Classification. HAIS 2008: 706-713
43	EE	Zheng Rong Yang: Single-Layer Neural Net Competes with Multi-layer Neural Net. IDEAL 2008: 516-524
2007
42	EE	David C. Trudgian, Zheng Rong Yang: Substitution Matrix Optimisation for Peptide Classification. EvoBIO 2007: 291-300
41	EE	David C. Trudgian, Zheng Rong Yang: A Sparse Bayesian Position Weighted Bio-Kernel Network. IDEAL 2007: 527-536
40		Zheng Rong Yang: Peptide Classification with Genetic Programming Ensemble of Generalised Indicator Models. IMECS 2007: 319-324
39	EE	Zheng Rong Yang: Predicting Palmitoylation Sites Using a Regularised Bio-basis Function Neural Network. ISBRA 2007: 406-417
38	EE	Zheng Rong Yang: A Probabilistic Peptide Machine for Predicting Hepatitis C Virus Protease Cleavage Sites. IEEE Transactions on Information Technology in Biomedicine 11(5): 593-595 (2007)
2006
37	EE	Natasha Young, Zheng Rong Yang: Multivariate Crosstalk Models. IDEAL 2006: 1129-1136
36	EE	Zheng Rong Yang: A Fast Algorithm for Relevance Vector Machine. IDEAL 2006: 33-39
35	EE	Alex C. Thomas, Zheng Rong Yang: Improved Prediction of HIV-1 Protease Genotypic Resistance Testing Assays using a Consensus Technique. IJCNN 2006: 2308-2314
34	EE	David C. Trudgian, Felicia Charles Johnson, Zheng Rong Yang: Predicting HIV-1 T Cell Epitopes Using Bio-basis Function Neural Networks. IJCNN 2006: 3586-3593
33	EE	Zheng Rong Yang: A novel radial basis function neural network for discriminant analysis. IEEE Transactions on Neural Networks 17(3): 604-612 (2006)
32	EE	Zheng Rong Yang, Jonathan Dry, Rebecca Thomson, T. Charles Hodgman: A bio-basis function neural network for protein peptide cleavage activity characterisation. Neural Networks 19(4): 401-407 (2006)
2005
31	EE	Zheng Rong Yang, Natasha Young: Bio-kernel Self-organizing Map for HIV Drug Resistance Classification. ICNC (1) 2005: 179-186
30	EE	Zheng Rong Yang: Bayesian Radial Basis Function Neural Network. IDEAL 2005: 211-219
29	EE	Zheng Rong Yang: Mining SARS-CoV protease cleavage data using non-orthogonal decision trees: a novel method for decisive template selection. Bioinformatics 21(11): 2644-2650 (2005)
28	EE	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. Bioinformatics 21(16): 3369-3376 (2005)
27	EE	Zheng Rong Yang: Prediction of caspase cleavage sites using Bayesian bio-basis function neural networks. Bioinformatics 21(9): 1831-1837 (2005)
26	EE	Zheng Rong Yang: Orthogonal kernel Machine for the prediction of functional sites in proteins. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(1): 100-106 (2005)
25	EE	Pasak Senawongse, Andrew R. Dalby, Zheng Rong Yang: Predicting the Phosphorylation Sites Using Hidden Markov Models and Machine Learning Methods. Journal of Chemical Information and Modeling 45(4): 1147-1152 (2005)
24	EE	Zheng Rong Yang, Felicia Charles Johnson: Prediction of T-Cell Epitopes Using Biosupport Vector Machines. Journal of Chemical Information and Modeling 45(5): 1424-1428 (2005)
2004
23		Zheng Rong Yang, Richard M. Everson, Hujun Yin: Intelligent Data Engineering and Automated Learning - IDEAL 2004, 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings Springer 2004
22	EE	Zheng Rong Yang: Mining gene expression data based on template theory. Bioinformatics 20(16): 2759-2766 (2004)
21	EE	Zheng Rong Yang, Andrew R. Dalby, Jing Qiu: Mining HIV protease cleavage data using genetic programming with a sum-product function. Bioinformatics 20(18): 3398-3405 (2004)
20	EE	Zheng Rong Yang, Kuo-Chen Chou: Bio-support vector machines for computational proteomics. Bioinformatics 20(5): 735-741 (2004)
19	EE	Zheng Rong Yang, Kuo-Chen Chou: Predicting the linkage sites in glycoproteins using bio-basis function neural network. Bioinformatics 20(6): 903-908 (2004)
18		Zheng Rong Yang: Biological applications of support vector machines. Briefings in Bioinformatics 5(4): 328-338 (2004)
17	EE	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. Computational Biology and Chemistry 28(1): 75-85 (2004)
16	EE	Zheng Rong Yang, Emily A. Berry: Reduced Bio-basis Function Neural Networks for Protease Cleavage Site Prediction. J. Bioinformatics and Computational Biology 2(3): 511-532 (2004)
15	EE	Vishwesh Venkatraman, Andrew R. Dalby, Zheng Rong Yang: Evaluation of Mutual Information and Genetic Programming for Feature Selection in QSAR. Journal of Chemical Information and Modeling 44(5): 1686-1692 (2004)
2003
14	EE	Emily A. Berry, Zheng Rong Yang, Xikun Wu: A Biology Inspired Neural Learning Algorithm for Analysing Protein Sequence. ICTAI 2003: 18-25
13		Rebecca Thomson, T. Charles Hodgman, Zheng Rong Yang, Austin K. Doyle: Characterizing proteolytic cleavage site activity using bio-basis function neural networks. Bioinformatics 19(14): 1741-1747 (2003)
12	EE	Zheng Rong Yang, Kuo-Chen Chou: Mining Biological Data Using Self-Organizing Map. Journal of Chemical Information and Computer Sciences 43(6): 1748-1753 (2003)
2002
11		Ajit Narayanan, Xikun Wu, Zheng Rong Yang: Mining viral protease data to extract cleavage knowledge. ISMB 2002: 5-13
10	EE	Zheng Rong Yang, Robert G. Harrison: Analysing company performance using templates. Intell. Data Anal. 6(1): 3-15 (2002)
2001
9	EE	Zheng Rong Yang, Mark Zwolinski: Mutual Information Theory for Adaptive Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 23(4): 396-403 (2001)
8		Zheng Rong Yang, Weiping Lu, Robert G. Harrison: Evolving Stacked Time Series Predictors with Multiple Window Scales and Sampling Gaps. Neural Processing Letters 13(3): 203-211 (2001)
2000
7	EE	Zheng Rong Yang, Mark Zwolinski: Applying Mutual Information to Adaptive Mixture Models. IDEAL 2000: 250-255
6	EE	Zheng Rong Yang: Stability Analysis of Financial Ratios. IDEAL 2000: 256-261
5	EE	Zheng Rong Yang, Weiping Lu, Dejin Yu, Robert G. Harrison: Detecting False Benign in Breast Cancer Diagnosis. IJCNN (3) 2000: 655-658
4	EE	Zheng Rong Yang, Robert G. Harrison, Weiping Lu: Identifying Health Inequalities Using Artificial Neural Networks (WHO Data). IJCNN (4) 2000: 113-118
3	EE	Zheng Rong Yang, Mark Zwolinski, Chris D. Chalk, Alan Christopher Williams: Applying a robust heteroscedastic probabilistic neural network toanalog fault detection and classification. IEEE Trans. on CAD of Integrated Circuits and Systems 19(1): 142-151 (2000)
1999
2	EE	Zheng Rong Yang, Mark Zwolinski: Fast, Robust DC and Transient Fault Simulation for Nonlinear Analog Circuits. DATE 1999: 244-248
1998
1	EE	Zheng Rong Yang, Sheng Chen: Robust maximum likelihood training of heteroscedastic probabilistic neural networks. Neural Networks 11(4): 739-747 (1998)

Coauthor Index

1	Emily A. Berry	[14] [16] [17]
2	Chris D. Chalk	[3]
3	Sheng Chen	[1]
4	Kuo-Chen Chou	[12] [19] [20]
5	Andrew R. Dalby	[15] [17] [21] [25]
6	Austin K. Doyle	[13]
7	Jonathan Dry	[32]
8	Robert Esnouf	[28]
9	Richard M. Everson	[23]
10	Robert G. Harrison	[4] [5] [8] [10]
11	Charlie Hodgman (T. Charles Hodgman)	[13] [32]
12	Felicia Charles Johnson	[24] [34]
13	Weiping Lu	[4] [5] [8]
14	Philip McNeil	[28]
15	Ajit Narayanan	[11]
16	Jing Qiu	[21]
17	Pasak Senawongse	[25]
18	Alex C. Thomas	[35]
19	Rebecca Thomson	[13] [28] [32]
20	David C. Trudgian	[34] [41] [42]
21	Vishwesh Venkatraman	[15]
22	Alan Christopher Williams	[3]
23	Xikun Wu	[11] [14]
24	Hujun Yin	[23]
25	Natasha Young	[31] [37]
26	Dejin Yu	[5]
27	Mark Zwolinski	[2] [3] [7] [9]

Colors in the list of coauthors