Dr Ron Yang
Senior Lecturer in Bioinformatics

Key publications | Publications by category | Publications by year

Key publications



Yang ZR (In Press). Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy. BMC Bioinformatics, 10 Abstract.
Wappett M, Dulak A, Yang ZR, Al-Watban A, Bradford JR, Dry JR (2016). Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs. BMC Genomics, 17 Abstract.  Author URL.  Full text. DOI.
de Torres Zabala M, Zhai B, Jayaraman S, Eleftheriadou G, Winsbury R, Yang R, Truman W, Tang S, Smirnoff N, Grant M, et al (2016). Novel JAZ co-operativity and unexpected JA dynamics underpin Arabidopsis defence responses to Pseudomonas syringae infection. New Phytologist, 209(3), 1120-1134. Abstract.  Full text. DOI.
Wu Y, Shi B, Ding X, Liu T, Hu X, Yip KY, Yang ZR, Mathews DH, Lu ZJ (2015). Improved prediction of RNA secondary structure by integrating the free energy model with restraints derived from experimental probing data. Nucleic Acids Res, 43(15), 7247-7259. Abstract.  Author URL.  Full text. DOI.
Yang ZR, Grant M (2012). An ultra-fast metabolite prediction algorithm. PLoS One, 7(6). Abstract.  Author URL. DOI.
Perera V, De Torres Zabala M, Florance H, Smirnoff N, Grant M, Yang ZR (2011). Aligning extracted LC-MS peak lists via density maximization. Metabolomics, 1-11.

Publications by category


Books

Yang ZR (In Press). machine learning approaches to bioinformatics. new jersey, world scientific.
Yang ZR, Everson R, Yin H (2004). Intelligent data engineering and automated learning--IDEAL 2004., Springer-Verlag New York Inc. Abstract.
Yang R, Everson RM, Yin H (2004). Proceedings of the Fifth International Conference on Intelligent Data Engineering and Automated Learning -- IDEAL2004., Springer.

Journal articles

Yang ZR (In Press). Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy. BMC Bioinformatics, 10 Abstract.
Wappett M, Dulak A, Yang ZR, Al-Watban A, Bradford JR, Dry JR (2016). Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs. BMC Genomics, 17 Abstract.  Author URL.  Full text. DOI.
de Torres Zabala M, Zhai B, Jayaraman S, Eleftheriadou G, Winsbury R, Yang R, Truman W, Tang S, Smirnoff N, Grant M, et al (2016). Novel JAZ co-operativity and unexpected JA dynamics underpin Arabidopsis defence responses to Pseudomonas syringae infection. New Phytologist, 209(3), 1120-1134. Abstract.  Full text. DOI.
Wu Y, Shi B, Ding X, Liu T, Hu X, Yip KY, Yang ZR, Mathews DH, Lu ZJ (2015). Improved prediction of RNA secondary structure by integrating the free energy model with restraints derived from experimental probing data. Nucleic Acids Res, 43(15), 7247-7259. Abstract.  Author URL.  Full text. DOI.
Yang Z, Yang Z (2013). Prediction of heterogeneous differential genes by detecting outliers to a Gaussian tight cluster. BMC Bioinformatics, 14(1). Abstract.  Full text. DOI.
Lau SK, Winlove P, Moger J, Champion OL, Titball RW, Yang ZH, Yang ZR (2012). A Bayesian Whittaker-Henderson smoother for general-purpose and sample-based spectral baseline estimation and peak extraction. JOURNAL OF RAMAN SPECTROSCOPY, 43(9), 1299-1305. Author URL. DOI.
Lau SK, Champion OL, Titball RW, Yang ZR, Winlove P, Moger J, Yang ZH (2012). A Bayesian Whittaker-Henderson smoother for general-purpose and sample-based spectral baseline estimation and peak extraction. Journal of Raman Spectroscopy Abstract. DOI.
Yang Z, Yang Z, Eftestl T, Steen PA, Lu W, Harrison RG (2012). A Mixture model classifier and its application on the biomedical time series. Applied Artificial Intelligence, 26(6), 588-597. Abstract. DOI.
Al-Watban A, Yang ZH, Everson R, Yang ZR (2012). A novel data mining approach for differential genes identification in small cancer expression data. 2012 7th International Symposium on Health Informatics and Bioinformatics, HIBIT 2012, 1-6. Abstract. DOI.
Perera V, de Torres Zabala M, Florance H, Smirnoff N, Grant M, Yang ZR (2012). Aligning extracted LC-MS peak lists via density maximization. Metabolomics, 8, 175-185. Abstract. DOI.
Yang ZR, Grant M (2012). An ultra-fast metabolite prediction algorithm. PLoS One, 7(6). Abstract.  Author URL. DOI.
Perera V, De Torres Zabala M, Florance H, Smirnoff N, Grant M, Yang ZR (2011). Aligning extracted LC-MS peak lists via density maximization. Metabolomics, 1-11.
Yang ZR (2010). Neural networks. Methods Mol Biol, 609, 197-222. Abstract.  Author URL. DOI.
Felgner PL, Kayala MA, Vigil A, Burk C, Nakajima-Sasaki R, Pablo J, Molina DM, Hirst S, Chew JSW, Wang D, et al (2009). A Burkholderia pseudomallei protein microarray reveals serodiagnostic and cross-reactive antigens. Proc Natl Acad Sci U S A, 106(32), 13499-13504. Abstract.  Author URL. DOI.
Yang ZR, Lertmemongkolchai G, Tan G, Felgner PL, Titball R (2009). A genetic programming approach for Burkholderia pseudomallei diagnostic pattern discovery. Bioinformatics, 25(17), 2256-2262. Abstract.  Author URL. DOI.
Yang ZR (2009). Peptide bioinformatics- peptide classification using peptide machines. Methods Mol Biol, 458, 155-179. Abstract. DOI.
Yang ZR (2009). Predict collagen hydroxyproline sites using support vector machines. J Comput Biol, 16(5), 691-702. Abstract.  Author URL.  Full text. DOI.
Yang ZR (2009). Predict prokaryotic proteins through detecting N-formylmethionine residues in protein sequences using support vector machine. Biosystems, 97(3), 141-145. Abstract.  Author URL. DOI.
Yang ZR (2009). Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy. BMC Bioinformatics, 10 Abstract.  Author URL.  Full text. DOI.
Yin H, Tino P, Magdon-Ismail M, Yang ZR, Corchado E (2008). INTRODUCTION. International Journal of Neural Systems, 18(6), V-V. Author URL.
Yin H, Tino P, Magdon-Ismail M, Yang ZR, Corchado E (2008). International Journal of Neural Systems: Introduction. International Journal of Neural Systems, 18(6).
Yang ZR (2008). Peptide bioinformatics: peptide classification using peptide machines. Methods Mol Biol, 458, 159-183. Abstract.  Author URL.
Yang ZR (2007). A probabilistic peptide machine for predicting hepatitis C virus protease cleavage sites. IEEE Trans Inf Technol Biomed, 11(5), 593-595. Abstract.  Author URL.
Yang ZR, Hamer R (2007). Bio-basis function neural networks in protein data mining. Curr Pharm Des, 13(14), 1403-1413. Abstract.  Author URL.
Yang ZR (2007). Peptide machines for data mining protein peptides. AMINO ACIDS, 33(3), XII-XII. Author URL.
Yang ZR, Dry J, Thomson R, Charles Hodgman T (2006). A bio-basis function neural network for protein peptide cleavage activity characterisation. Neural Netw, 19(4), 401-407. Abstract.  Author URL. DOI.
Yang ZR (2006). A novel radial basis function neural network for discriminant analysis. IEEE Trans Neural Netw, 17(3), 604-612. Abstract.  Author URL. DOI.
Esnouf RM, Hamer R, Sussman JL, Silman I, Trudgian D, Yang ZR, Prilusky J (2006). Honing the in silico toolkit for detecting protein disorder. Acta Crystallographica Section D: Biological Crystallography, 62(10), 1260-1266. Abstract. DOI.
Yang ZR (2006). Predicting hepatitis C virus protease cleavage sites using generalized linear indicator regression models. IEEE Trans Biomed Eng, 53(10), 2119-2123. Abstract.  Author URL. DOI.
Yang ZR, Thomson R (2005). Bio-basis function neural network for prediction of protease cleavage sites in proteins. IEEE Trans Neural Netw, 16(1), 263-274. Abstract.  Author URL. DOI.
Yang ZR, Dalby AR (2005). International Journal of Neural Systems: Introduction. International Journal of Neural Systems, 15(4).
Yang ZR (2005). Mining SARS-CoV protease cleavage data using non-orthogonal decision trees: a novel method for decisive template selection. Bioinformatics, 21(11), 2644-2650. Abstract.  Author URL. DOI.
Yang ZR (2005). Orthogonal kernel machine for the prediction of functional sites in proteins. IEEE Trans Syst Man Cybern B Cybern, 35(1), 100-106. Abstract.  Author URL.
Yang ZR, Wang L, Young N, Trudgian D, Chou K-C (2005). Pattern recognition methods for protein functional site prediction. Curr Protein Pept Sci, 6(5), 479-491. Abstract.  Author URL.
Senawongse P, Dalby AR, Yang ZR (2005). Predicting the phosphorylation sites using hidden Markov models and machine learning methods. J Chem Inf Model, 45(4), 1147-1152. Abstract.  Author URL. DOI.
Senawongse P, Dalby AR, Yang ZR (2005). Predicting the phosphorylation sites using hidden markov models and machine learning methods. Journal of Chemical Information and Modeling, 45(4), 1147-1152. Abstract. DOI.
Yang ZR, Johnson FC (2005). Prediction of T-cell epitopes using biosupport vector machines. J Chem Inf Model, 45(5), 1424-1428. Abstract.  Author URL. DOI.
Yang, Z.R. (2005). Prediction of caspase cleavage sites using Bayesian bio-basis function neural networks. Bioinformatics, 21(9), 1831-1837.
Yang ZR, Esnouf R, McNeil P, Thomson R (2005). RONN: use of the bio-basis function neural network technique for the detection of natively disordered regions in proteins. Bioinformatics, 21(16), 3369-3376. DOI.
Yang ZR, Dalby AR (2005). Special issue on bioinformatics - Introduction. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 15(4), V-VI. Author URL.
Yang ZR, Chou KC (2004). Bio-Support Vector Machines for Computational Proteomics. Bioinformatics, 20(5), 735-741. DOI.
Yang ZR (2004). Biological applications of support vector machines. Brief Bioinform, 5(4), 328-338. Abstract.  Author URL.
Venkatraman V, Dalby AR, Yang ZR (2004). Evaluation of mutual information and genetic programming for feature selection in QSAR. J Chem Inf Comput Sci, 44(5), 1686-1692. Abstract.  Author URL. DOI.
Yang ZR, Dalby AR, Qiu J (2004). Mining HIV protease cleavage data using genetic programming with a sum-product function. Bioinformatics, 20(18), 3398-3405. Abstract.  Author URL. DOI.
Yang, Z.R. (2004). Mining gene expression data using the template theory. Bioinformatics, 20(16), 2759-2766.
Yang ZR, Chou KC (2004). Predicting the O-linkage sites in glycoproteins using bio-basis function neural networks. Bioinformatics, 20(6), 903-908. DOI.
Berry EA, Dalby AR, Yang ZR (2004). Reduced bio basis function neural network for identification of protein phosphorylation sites: comparison with pattern recognition algorithms. Comput Biol Chem, 28(1), 75-85. Abstract.  Author URL.
Yang ZR, Berry EA (2004). Reduced bio-basis function neural networks for protease cleavage site prediction. J Bioinform Comput Biol, 2(3), 511-531. Abstract.  Author URL.
Yang ZR, Harrison RG (2003). An unsupervised probabilistic net for health inequalities analysis. IEEE Trans Neural Netw, 14(1), 46-57. Abstract.  Author URL. DOI.
Yang ZR, Doyle AK, Hodgman C, Thomson R (2003). Characterising proteolytic cleavage site activity using bio-basis function neural network. Bioinformatics, 19(14), 1741-1747. DOI.
Yang ZR, Chou K-C (2003). Mining biological data using self-organizing map. J Chem Inf Comput Sci, 43(6), 1748-1753. Abstract.  Author URL. DOI.
Yang ZR, Thomson R, Hodgman TC, Dry J, Doyle AK, Narayanan A, Wu X (2003). Searching for discrimination rules in protease proteolytic cleavage activity using genetic programming with a min-max scoring function. Biosystems, 72(1-2), 159-176. Abstract.  Author URL.
Yang ZR, Harrison RG (2002). Analysing company performance using templates. Intelligent Data Analysis, 6(1), 3-15. Abstract.
Narayanan A, Wu X, Yang ZR (2002). Mining viral protease data to extract cleavage knowledge. Bioinformatics, 18 Suppl 1, S5-13. Abstract.  Author URL.
Yang ZR, Lu W, Harrison RG (2001). Evolving stacked time series predictors with multiple window scales and sampling gaps. Neural Processing Letters, 13(3), 203-211. Abstract. DOI.
Zwolinski, M. (2001). Mutual information theory for adaptive mixture models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(4), 396-403.
Wolinski MZ, Yang ZR, Kazmierski TJ (2000). Using robust adaptive mixing for statistical fault macromodelling. IEE Proceedings: Circuits, Devices and Systems, 147(5), 265-270. Abstract. DOI.

Conferences

Yang ZR (2008). Crosstalk and signalling pathway complexity - a case study on synthetic models.  Abstract. DOI.
Yang ZR (2008). Explore residue significance in peptide classification.  Abstract. DOI.
Yang ZR (2008). Single-layer neural net competes with multi-layer neural net.  Abstract. DOI.
Trudgian DC, Yang ZR (2007). A sparse bayesian position weighted bio-kernel network.  Abstract.
Yang ZR, IAENG (2007). Peptide classification with genetic programming ensemble of generalised indicator models.  Author URL.
Yang ZR (2007). Predicting palmitoylation sites using a regularised bio-basis function neural network.  Abstract.
Yang ZR, Young N (2007). Regressional inhibitive crosstalk models.  Author URL.
Trudgian DC, Yang ZR (2007). Substitution matrix optimisation for peptide classification.  Abstract.
Yang ZR (2006). A fast algorithm for relevance vector machine.  Author URL.
Thomas AC, Zheng RY (2006). Improved prediction of HIV-1 protease genotypic resistance testing assays using a consensus technique.  Abstract.
Young N, Yang ZR (2006). Multivariate crosstalk models.  Author URL.
Trudgian DC, Charles-Johnson F, Yang ZR (2006). Predicting HIV-1 T cell epitopes using bio-basis function neural networks.  Abstract.
Yang ZR (2005). Bayesian radial basis function neural network.  Abstract.
Yang ZR, Young N (2005). Bio-kernel self-organizing Map for HIV drug resistance classification.  Abstract.
Yang ZR (2005). Probabilistic Mercer kernel clusters.  Abstract.
Berry E, Yang ZR, Wu X (2003). A Biology Inspired Neural Learning Algorithm for Analysing Protein Sequences.  Abstract.
Yang ZR, IEEE, IEEE (2003). Support vector machines for company failure prediction.  Author URL.
Thomson R, Yang ZR (2002). A novel basis function neural network.  Author URL.
Yang ZR (2001). A Binary Probabilistic Model and genetic algorithm for HIV protease cleavage sites prediction and search.  Author URL.
Yang ZR (2001). A binary probabilistic classification tree for company failure prediction.  Author URL.
Yang ZR (2001). A new method for company failure prediction using probabilistic neural networks.  Author URL.
Yang ZR (2001). Analysing health inequalities using SOM.  Author URL.

Publications by year



In Press

Yang ZR (In Press). Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy. BMC Bioinformatics, 10 Abstract.
Yang ZR (In Press). machine learning approaches to bioinformatics. new jersey, world scientific.

2016

Wappett M, Dulak A, Yang ZR, Al-Watban A, Bradford JR, Dry JR (2016). Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs. BMC Genomics, 17 Abstract.  Author URL.  Full text. DOI.
de Torres Zabala M, Zhai B, Jayaraman S, Eleftheriadou G, Winsbury R, Yang R, Truman W, Tang S, Smirnoff N, Grant M, et al (2016). Novel JAZ co-operativity and unexpected JA dynamics underpin Arabidopsis defence responses to Pseudomonas syringae infection. New Phytologist, 209(3), 1120-1134. Abstract.  Full text. DOI.

2015

Wu Y, Shi B, Ding X, Liu T, Hu X, Yip KY, Yang ZR, Mathews DH, Lu ZJ (2015). Improved prediction of RNA secondary structure by integrating the free energy model with restraints derived from experimental probing data. Nucleic Acids Res, 43(15), 7247-7259. Abstract.  Author URL.  Full text. DOI.

2013

Yang Z, Yang Z (2013). Prediction of heterogeneous differential genes by detecting outliers to a Gaussian tight cluster. BMC Bioinformatics, 14(1). Abstract.  Full text. DOI.

2012

Lau SK, Winlove P, Moger J, Champion OL, Titball RW, Yang ZH, Yang ZR (2012). A Bayesian Whittaker-Henderson smoother for general-purpose and sample-based spectral baseline estimation and peak extraction. JOURNAL OF RAMAN SPECTROSCOPY, 43(9), 1299-1305. Author URL. DOI.
Lau SK, Champion OL, Titball RW, Yang ZR, Winlove P, Moger J, Yang ZH (2012). A Bayesian Whittaker-Henderson smoother for general-purpose and sample-based spectral baseline estimation and peak extraction. Journal of Raman Spectroscopy Abstract. DOI.
Yang Z, Yang Z, Eftestl T, Steen PA, Lu W, Harrison RG (2012). A Mixture model classifier and its application on the biomedical time series. Applied Artificial Intelligence, 26(6), 588-597. Abstract. DOI.
Al-Watban A, Yang ZH, Everson R, Yang ZR (2012). A novel data mining approach for differential genes identification in small cancer expression data. 2012 7th International Symposium on Health Informatics and Bioinformatics, HIBIT 2012, 1-6. Abstract. DOI.
Perera V, de Torres Zabala M, Florance H, Smirnoff N, Grant M, Yang ZR (2012). Aligning extracted LC-MS peak lists via density maximization. Metabolomics, 8, 175-185. Abstract. DOI.
Yang ZR, Grant M (2012). An ultra-fast metabolite prediction algorithm. PLoS One, 7(6). Abstract.  Author URL. DOI.

2011

Perera V, De Torres Zabala M, Florance H, Smirnoff N, Grant M, Yang ZR (2011). Aligning extracted LC-MS peak lists via density maximization. Metabolomics, 1-11.

2010

Yang ZR (2010). Neural networks. Methods Mol Biol, 609, 197-222. Abstract.  Author URL. DOI.

2009

Felgner PL, Kayala MA, Vigil A, Burk C, Nakajima-Sasaki R, Pablo J, Molina DM, Hirst S, Chew JSW, Wang D, et al (2009). A Burkholderia pseudomallei protein microarray reveals serodiagnostic and cross-reactive antigens. Proc Natl Acad Sci U S A, 106(32), 13499-13504. Abstract.  Author URL. DOI.
Yang ZR, Lertmemongkolchai G, Tan G, Felgner PL, Titball R (2009). A genetic programming approach for Burkholderia pseudomallei diagnostic pattern discovery. Bioinformatics, 25(17), 2256-2262. Abstract.  Author URL. DOI.
Yang ZR (2009). Peptide bioinformatics- peptide classification using peptide machines. Methods Mol Biol, 458, 155-179. Abstract. DOI.
Yang ZR (2009). Predict collagen hydroxyproline sites using support vector machines. J Comput Biol, 16(5), 691-702. Abstract.  Author URL.  Full text. DOI.
Yang ZR (2009). Predict prokaryotic proteins through detecting N-formylmethionine residues in protein sequences using support vector machine. Biosystems, 97(3), 141-145. Abstract.  Author URL. DOI.
Yang ZR (2009). Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy. BMC Bioinformatics, 10 Abstract.  Author URL.  Full text. DOI.

2008

Yang ZR (2008). Crosstalk and signalling pathway complexity - a case study on synthetic models.  Abstract. DOI.
Yang ZR (2008). Explore residue significance in peptide classification.  Abstract. DOI.
Yin H, Tino P, Magdon-Ismail M, Yang ZR, Corchado E (2008). INTRODUCTION. International Journal of Neural Systems, 18(6), V-V. Author URL.
Yin H, Tino P, Magdon-Ismail M, Yang ZR, Corchado E (2008). International Journal of Neural Systems: Introduction. International Journal of Neural Systems, 18(6).
Yang ZR (2008). Peptide bioinformatics: peptide classification using peptide machines. Methods Mol Biol, 458, 159-183. Abstract.  Author URL.
Yang ZR (2008). Single-layer neural net competes with multi-layer neural net.  Abstract. DOI.

2007

Yang ZR (2007). A probabilistic peptide machine for predicting hepatitis C virus protease cleavage sites. IEEE Trans Inf Technol Biomed, 11(5), 593-595. Abstract.  Author URL.
Trudgian DC, Yang ZR (2007). A sparse bayesian position weighted bio-kernel network.  Abstract.
Yang ZR, Hamer R (2007). Bio-basis function neural networks in protein data mining. Curr Pharm Des, 13(14), 1403-1413. Abstract.  Author URL.
Yang ZR, IAENG (2007). Peptide classification with genetic programming ensemble of generalised indicator models.  Author URL.
Yang ZR (2007). Peptide machines for data mining protein peptides. AMINO ACIDS, 33(3), XII-XII. Author URL.
Yang ZR (2007). Predicting palmitoylation sites using a regularised bio-basis function neural network.  Abstract.
Yang ZR, Young N (2007). Regressional inhibitive crosstalk models.  Author URL.
Trudgian DC, Yang ZR (2007). Substitution matrix optimisation for peptide classification.  Abstract.

2006

Yang ZR, Dry J, Thomson R, Charles Hodgman T (2006). A bio-basis function neural network for protein peptide cleavage activity characterisation. Neural Netw, 19(4), 401-407. Abstract.  Author URL. DOI.
Yang ZR (2006). A fast algorithm for relevance vector machine.  Author URL.
Yang ZR (2006). A novel radial basis function neural network for discriminant analysis. IEEE Trans Neural Netw, 17(3), 604-612. Abstract.  Author URL. DOI.
Esnouf RM, Hamer R, Sussman JL, Silman I, Trudgian D, Yang ZR, Prilusky J (2006). Honing the in silico toolkit for detecting protein disorder. Acta Crystallographica Section D: Biological Crystallography, 62(10), 1260-1266. Abstract. DOI.
Thomas AC, Zheng RY (2006). Improved prediction of HIV-1 protease genotypic resistance testing assays using a consensus technique.  Abstract.
Young N, Yang ZR (2006). Multivariate crosstalk models.  Author URL.
Trudgian DC, Charles-Johnson F, Yang ZR (2006). Predicting HIV-1 T cell epitopes using bio-basis function neural networks.  Abstract.
Yang ZR (2006). Predicting hepatitis C virus protease cleavage sites using generalized linear indicator regression models. IEEE Trans Biomed Eng, 53(10), 2119-2123. Abstract.  Author URL. DOI.

2005

Yang ZR (2005). Bayesian radial basis function neural network.  Abstract.
Yang ZR, Thomson R (2005). Bio-basis function neural network for prediction of protease cleavage sites in proteins. IEEE Trans Neural Netw, 16(1), 263-274. Abstract.  Author URL. DOI.
Yang ZR, Young N (2005). Bio-kernel self-organizing Map for HIV drug resistance classification.  Abstract.
Yang ZR, Dalby AR (2005). International Journal of Neural Systems: Introduction. International Journal of Neural Systems, 15(4).
Yang ZR (2005). Mining SARS-CoV protease cleavage data using non-orthogonal decision trees: a novel method for decisive template selection. Bioinformatics, 21(11), 2644-2650. Abstract.  Author URL. DOI.
Yang ZR (2005). Orthogonal kernel machine for the prediction of functional sites in proteins. IEEE Trans Syst Man Cybern B Cybern, 35(1), 100-106. Abstract.  Author URL.
Yang ZR, Wang L, Young N, Trudgian D, Chou K-C (2005). Pattern recognition methods for protein functional site prediction. Curr Protein Pept Sci, 6(5), 479-491. Abstract.  Author URL.
Senawongse P, Dalby AR, Yang ZR (2005). Predicting the phosphorylation sites using hidden Markov models and machine learning methods. J Chem Inf Model, 45(4), 1147-1152. Abstract.  Author URL. DOI.
Senawongse P, Dalby AR, Yang ZR (2005). Predicting the phosphorylation sites using hidden markov models and machine learning methods. Journal of Chemical Information and Modeling, 45(4), 1147-1152. Abstract. DOI.
Yang ZR, Johnson FC (2005). Prediction of T-cell epitopes using biosupport vector machines. J Chem Inf Model, 45(5), 1424-1428. Abstract.  Author URL. DOI.
Yang, Z.R. (2005). Prediction of caspase cleavage sites using Bayesian bio-basis function neural networks. Bioinformatics, 21(9), 1831-1837.
Yang ZR (2005). Probabilistic Mercer kernel clusters.  Abstract.
Yang ZR, Esnouf R, McNeil P, Thomson R (2005). RONN: use of the bio-basis function neural network technique for the detection of natively disordered regions in proteins. Bioinformatics, 21(16), 3369-3376. DOI.
Yang ZR, Dalby AR (2005). Special issue on bioinformatics - Introduction. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 15(4), V-VI. Author URL.

2004

Yang ZR, Chou KC (2004). Bio-Support Vector Machines for Computational Proteomics. Bioinformatics, 20(5), 735-741. DOI.
Yang ZR (2004). Biological applications of support vector machines. Brief Bioinform, 5(4), 328-338. Abstract.  Author URL.
Venkatraman V, Dalby AR, Yang ZR (2004). Evaluation of mutual information and genetic programming for feature selection in QSAR. J Chem Inf Comput Sci, 44(5), 1686-1692. Abstract.  Author URL. DOI.
Yang ZR, Everson R, Yin H (2004). Intelligent data engineering and automated learning--IDEAL 2004., Springer-Verlag New York Inc. Abstract.
Yang ZR, Dalby AR, Qiu J (2004). Mining HIV protease cleavage data using genetic programming with a sum-product function. Bioinformatics, 20(18), 3398-3405. Abstract.  Author URL. DOI.
Yang, Z.R. (2004). Mining gene expression data using the template theory. Bioinformatics, 20(16), 2759-2766.
Yang ZR, Chou KC (2004). Predicting the O-linkage sites in glycoproteins using bio-basis function neural networks. Bioinformatics, 20(6), 903-908. DOI.
Yang R, Everson RM, Yin H (2004). Proceedings of the Fifth International Conference on Intelligent Data Engineering and Automated Learning -- IDEAL2004., Springer.
Berry EA, Dalby AR, Yang ZR (2004). Reduced bio basis function neural network for identification of protein phosphorylation sites: comparison with pattern recognition algorithms. Comput Biol Chem, 28(1), 75-85. Abstract.  Author URL.
Yang ZR, Berry EA (2004). Reduced bio-basis function neural networks for protease cleavage site prediction. J Bioinform Comput Biol, 2(3), 511-531. Abstract.  Author URL.

2003

Berry E, Yang ZR, Wu X (2003). A Biology Inspired Neural Learning Algorithm for Analysing Protein Sequences.  Abstract.
Yang ZR, Harrison RG (2003). An unsupervised probabilistic net for health inequalities analysis. IEEE Trans Neural Netw, 14(1), 46-57. Abstract.  Author URL. DOI.
Yang ZR, Doyle AK, Hodgman C, Thomson R (2003). Characterising proteolytic cleavage site activity using bio-basis function neural network. Bioinformatics, 19(14), 1741-1747. DOI.
Yang ZR, Chou K-C (2003). Mining biological data using self-organizing map. J Chem Inf Comput Sci, 43(6), 1748-1753. Abstract.  Author URL. DOI.
Yang ZR, Thomson R, Hodgman TC, Dry J, Doyle AK, Narayanan A, Wu X (2003). Searching for discrimination rules in protease proteolytic cleavage activity using genetic programming with a min-max scoring function. Biosystems, 72(1-2), 159-176. Abstract.  Author URL.
Yang ZR, IEEE, IEEE (2003). Support vector machines for company failure prediction.  Author URL.

2002

Thomson R, Yang ZR (2002). A novel basis function neural network.  Author URL.
Yang ZR, Harrison RG (2002). Analysing company performance using templates. Intelligent Data Analysis, 6(1), 3-15. Abstract.
Narayanan A, Wu X, Yang ZR (2002). Mining viral protease data to extract cleavage knowledge. Bioinformatics, 18 Suppl 1, S5-13. Abstract.  Author URL.

2001

Yang ZR (2001). A Binary Probabilistic Model and genetic algorithm for HIV protease cleavage sites prediction and search.  Author URL.
Yang ZR (2001). A binary probabilistic classification tree for company failure prediction.  Author URL.
Yang ZR (2001). A new method for company failure prediction using probabilistic neural networks.  Author URL.
Yang ZR (2001). Analysing health inequalities using SOM.  Author URL.
Yang ZR, Lu W, Harrison RG (2001). Evolving stacked time series predictors with multiple window scales and sampling gaps. Neural Processing Letters, 13(3), 203-211. Abstract. DOI.
Zwolinski, M. (2001). Mutual information theory for adaptive mixture models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(4), 396-403.

2000

Wolinski MZ, Yang ZR, Kazmierski TJ (2000). Using robust adaptive mixing for statistical fault macromodelling. IEE Proceedings: Circuits, Devices and Systems, 147(5), 265-270. Abstract. DOI.