Yang, Ron - University of Exeter - Disciplines of Biosciences

个人简介

1995-1997 PhD, Portsmouth University Career 2000-present Senior lecturer in Bioinformatics, School of Biosciences, Exeter University 2004-2007 Senior lecturer in Computer Sciences, Department of Computer Sciences, Exeter University 2000-2004 Lecturer in Computer Sciences, Department of Computer Sciences, Exeter University 1999-2000 Research fellow, Heriot-Watt University 1997-1999 Research fellow, Southampton University

研究领域

My current research interests are in gene-metabolite network construction, signaling pathway crosstalk modeling and systems dynamics. My main methodology is top-down data mining using various machine learning algorithms and differential as well as difference equations. In theoretical bioinformatics, I am currently working on developing novel neural network algorithms which can handle data complexity as conventional neural networks but provide the capability of quantitative interpretation to a model so that biological relevance in data can be well-explored through black-box-alike learning.

近期论文

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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. Article has an altmetric score of 5 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. Article has an altmetric score of 5 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. Article has an altmetric score of 1 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. 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. 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. 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. 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. 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. Yang ZR, Grant M (2012). An ultra-fast metabolite prediction algorithm. PLoS One, 7(6). Abstract. Author URL. Article has an altmetric score of 1 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. Felgner PL, Kayala MA, Vigil A, Burk C, Nakajima-Sasaki R, Pablo J, Molina DM, Hirst S, Chew JS, 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. 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. Yang ZR (2009). Peptide bioinformatics- peptide classification using peptide machines. Methods Mol Biol, 458, 155-179. Abstract. Yang ZR (2009). Predict collagen hydroxyproline sites using support vector machines. J Comput Biol, 16(5), 691-702. Abstract. Author URL. Full text. 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. Yang ZR (2009). Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy. BMC Bioinformatics, 10 Abstract. Author URL. Full text. Yin H, Tino P, Magdon-Ismail M, Yang ZR, Corchado E (2008). INTRODUCTION. International Journal of Neural Systems, 18(6), V-V. Author URL.