Zheng Rong Yang

	2009
46		Zheng Rong Yang, Ganjana Lertmemongkolchai, Gladys Tan, Philip L. Felgner, Richard W. Titball: A genetic programming approach for Burkholderia Pseudomallei diagnostic pattern discovery. Bioinformatics 25(17): 2256-2262 (2009)
	2008
45		Zheng Rong Yang: Crosstalk and Signalling Pathway Complexity - A Case Study on Synthetic Models. HAIS 2008: 696-705
44		Zheng Rong Yang: Explore Residue Significance in Peptide Classification. HAIS 2008: 706-713
43		Zheng Rong Yang: Single-Layer Neural Net Competes with Multi-layer Neural Net. IDEAL 2008: 516-524
	2007
42		David C. Trudgian, Zheng Rong Yang: Substitution Matrix Optimisation for Peptide Classification. EvoBIO 2007: 291-300
41		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		Zheng Rong Yang: Predicting Palmitoylation Sites Using a Regularised Bio-basis Function Neural Network. ISBRA 2007: 406-417
38		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		Natasha Young, Zheng Rong Yang: Multivariate Crosstalk Models. IDEAL 2006: 1129-1136
36		Zheng Rong Yang: A Fast Algorithm for Relevance Vector Machine. IDEAL 2006: 33-39
35		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		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		Zheng Rong Yang: A novel radial basis function neural network for discriminant analysis. IEEE Transactions on Neural Networks 17(3): 604-612 (2006)
32		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		Zheng Rong Yang, Natasha Young: Bio-kernel Self-organizing Map for HIV Drug Resistance Classification. ICNC (1) 2005: 179-186
30		Zheng Rong Yang: Bayesian Radial Basis Function Neural Network. IDEAL 2005: 211-219
29		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		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		Zheng Rong Yang: Prediction of caspase cleavage sites using Bayesian bio-basis function neural networks. Bioinformatics 21(9): 1831-1837 (2005)
26		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		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		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		Zheng Rong Yang: Mining gene expression data based on template theory. Bioinformatics 20(16): 2759-2766 (2004)
21		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		Zheng Rong Yang, Kuo-Chen Chou: Bio-support vector machines for computational proteomics. Bioinformatics 20(5): 735-741 (2004)
19		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		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		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		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		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		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		Zheng Rong Yang, Robert G. Harrison: Analysing company performance using templates. Intell. Data Anal. 6(1): 3-15 (2002)
	2001
9		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		Zheng Rong Yang, Mark Zwolinski: Applying Mutual Information to Adaptive Mixture Models. IDEAL 2000: 250-255
6		Zheng Rong Yang: Stability Analysis of Financial Ratios. IDEAL 2000: 256-261
5		Zheng Rong Yang, Weiping Lu, Dejin Yu, Robert G. Harrison: Detecting False Benign in Breast Cancer Diagnosis. IJCNN (3) 2000: 655-658
4		Zheng Rong Yang, Robert G. Harrison, Weiping Lu: Identifying Health Inequalities Using Artificial Neural Networks (WHO Data). IJCNN (4) 2000: 113-118
3		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		Zheng Rong Yang, Mark Zwolinski: Fast, Robust DC and Transient Fault Simulation for Nonlinear Analog Circuits. DATE 1999: 244-248
	1998
1		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	Philip L. Felgner	[46]
11	Robert G. Harrison	[4] [5] [8] [10]
12	Charlie Hodgman (T. Charles Hodgman)	[13] [32]
13	Felicia Charles Johnson	[24] [34]
14	Ganjana Lertmemongkolchai	[46]
15	Weiping Lu	[4] [5] [8]
16	Philip McNeil	[28]
17	Ajit Narayanan	[11]
18	Jing Qiu	[21]
19	Pasak Senawongse	[25]
20	Gladys Tan	[46]
21	Alex C. Thomas	[35]
22	Rebecca Thomson	[13] [28] [32]
23	Richard W. Titball	[46]
24	David C. Trudgian	[34] [41] [42]
25	Vishwesh Venkatraman	[15]
26	Alan Christopher Williams	[3]
27	Xikun Wu	[11] [14]
28	Hujun Yin	[23]
29	Natasha Young	[31] [37]
30	Dejin Yu	[5]
31	Mark Zwolinski	[2] [3] [7] [9]

Colors in the list of coauthors