Zheng Rong Yang

Publication Activity (10 Years)

Years Active: 1998-2014
Publications (10 Years): 0

Top Topics

Gene Expression Profiling

Supervised Classification

Top Venues

Appl. Artif. Intell.

Publications

Suhaib Mohammed, Ozgur E. Akman, Zheng Rong Yang
A consensus approach to predict regulatory interactions. BMEI (2014)
ZiHua Yang, Abdullatif Alwatban, Zheng Rong Yang
A mean pattern model for integrative study - Integrative self-organizing map. BMEI (2014)
Louisa Knocker, Zheng Rong Yang
SLC- and NDUF-genes expression dynamics in pre-implantation embryonic development between bovine and mouse - A bioinformatics study. BMEI (2014)
Amelia King, ZiHua Yang, Zheng Rong Yang
Multivariate multi-scale Gaussian for microarray unsupervised classification. IJCNN (2014)
Zhijun Yang, Zheng Rong Yang, Trygve Eftestøl, Petter Andreas Steen, Weiping Lu, Robert G. Harrison
A Mixture Model Classifier and its Application on the Biomedical Time Series. Appl. Artif. Intell. 26 (6) (2012)
Zheng Rong Yang
Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy. BMC Bioinform. 10 (2009)
Zheng Rong Yang
Predict prokaryotic proteins through detecting N-formylmethionine residues in protein sequences using support vector machine. Biosyst. 97 (3) (2009)
Zheng Rong Yang, Ganjana Lertmemongkolchai, Gladys Tan, Philip L. Felgner, Richard W. Titball
diagnostic pattern discovery. Bioinform. 25 (17) (2009)
Zheng Rong Yang
Predict Collagen Hydroxyproline Sites Using Support Vector Machines. J. Comput. Biol. 16 (5) (2009)
Zheng Rong Yang
Single-Layer Neural Net Competes with Multi-layer Neural Net. IDEAL (2008)
Zheng Rong Yang
Crosstalk and Signalling Pathway Complexity - A Case Study on Synthetic Models. HAIS (2008)
Zheng Rong Yang
Explore Residue Significance in Peptide Classification. HAIS (2008)
David C. Trudgian, Zheng Rong Yang
A Sparse Bayesian Position Weighted Bio-Kernel Network. IDEAL (2007)
Zheng Rong Yang
Predicting Palmitoylation Sites Using a Regularised Bio-basis Function Neural Network. ISBRA (2007)
Zheng Rong Yang
A Probabilistic Peptide Machine for Predicting Hepatitis C Virus Protease Cleavage Sites. IEEE Trans. Inf. Technol. Biomed. 11 (5) (2007)
David C. Trudgian, Zheng Rong Yang
Substitution Matrix Optimisation for Peptide Classification. EvoBIO (2007)
Zheng Rong Yang
Peptide Classification with Genetic Programming Ensemble of Generalised Indicator Models. IMECS (2007)
Natasha Young, Zheng Rong Yang
Multivariate Crosstalk Models. IDEAL (2006)
Zheng Rong Yang
A Fast Algorithm for Relevance Vector Machine. IDEAL (2006)
David C. Trudgian, Felicia Charles Johnson, Zheng Rong Yang
Predicting HIV-1 T Cell Epitopes Using Bio-basis Function Neural Networks. IJCNN (2006)
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) (2006)
Zheng Rong Yang
A novel radial basis function neural network for discriminant analysis. IEEE Trans. Neural Networks 17 (3) (2006)
Zheng Rong Yang
Predicting Hepatitis C Virus Protease Cleavage Sites Using Generalized Linear Indicator Regression Models. IEEE Trans. Biomed. Eng. 53 (10) (2006)
Alex C. Thomas, Zheng Rong Yang
Improved Prediction of HIV-1 Protease Genotypic Resistance Testing Assays using a Consensus Technique. IJCNN (2006)
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. Bioinform. 21 (16) (2005)
Zheng Rong Yang
Bayesian Radial Basis Function Neural Network. IDEAL (2005)
Zheng Rong Yang, Natasha Young
Bio-kernel Self-organizing Map for HIV Drug Resistance Classification. ICNC (1) (2005)
Zheng Rong Yang
Orthogonal kernel Machine for the prediction of functional sites in proteins. IEEE Trans. Syst. Man Cybern. Part B 35 (1) (2005)
Pasak Senawongse, Andrew R. Dalby, Zheng Rong Yang
Predicting the Phosphorylation Sites Using Hidden Markov Models and Machine Learning Methods. J. Chem. Inf. Model. 45 (4) (2005)
Zheng Rong Yang, Rebecca Thomson
Bio-basis function neural network for prediction of protease cleavage sites in proteins. IEEE Trans. Neural Networks 16 (1) (2005)
Zheng Rong Yang
Mining SARS-CoV protease cleavage data using non-orthogonal decision trees: a novel method for decisive template selection. Bioinform. 21 (11) (2005)
Zheng Rong Yang, Felicia Charles Johnson
Prediction of T-Cell Epitopes Using Biosupport Vector Machines. J. Chem. Inf. Model. 45 (5) (2005)
Zheng Rong Yang
Prediction of caspase cleavage sites using Bayesian bio-basis function neural networks. Bioinform. 21 (9) (2005)
Vishwesh Venkatraman, Andrew R. Dalby, Zheng Rong Yang
Evaluation of Mutual Information and Genetic Programming for Feature Selection in QSAR. J. Chem. Inf. Model. 44 (5) (2004)
Zheng Rong Yang, Kuo-Chen Chou
Bio-support vector machines for computational proteomics. Bioinform. 20 (5) (2004)
Zheng Rong Yang, Kuo-Chen Chou
Predicting the linkage sites in glycoproteins using bio-basis function neural network. Bioinform. 20 (6) (2004)
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. Comput. Biol. Chem. 28 (1) (2004)
Zheng Rong Yang, Andrew R. Dalby, Jing Qiu
Mining HIV protease cleavage data using genetic programming with a sum-product function. Bioinform. 20 (18) (2004)
Zheng Rong Yang
Mining gene expression data based on template theory. Bioinform. 20 (16) (2004)
Zheng Rong Yang, Emily A. Berry
Reduced Bio-basis Function Neural Networks for Protease Cleavage Site Prediction. J. Bioinform. Comput. Biol. 2 (3) (2004)
Zheng Rong Yang
Biological applications of support vector machines. Briefings Bioinform. 5 (4) (2004)
Zheng Rong Yang, Kuo-Chen Chou
Mining Biological Data Using Self-Organizing Map. J. Chem. Inf. Comput. Sci. 43 (6) (2003)
Rebecca Thomson, T. Charles Hodgman, Zheng Rong Yang, Austin K. Doyle
Characterizing proteolytic cleavage site activity using bio-basis function neural networks. Bioinform. 19 (14) (2003)
Zheng Rong Yang
Support vector machines for company failure prediction. CIFEr (2003)
Emily A. Berry, Zheng Rong Yang, Xikun Wu
A Biology Inspired Neural Learning Algorithm for Analysing Protein Sequence. ICTAI (2003)
Zheng Rong Yang, Robert G. Harrison
An unsupervised probabilistic net for health inequalities analysis. IEEE Trans. Neural Networks 14 (1) (2003)
Zheng Rong Yang, Robert G. Harrison
Analysing company performance using templates. Intell. Data Anal. 6 (1) (2002)
Ajit Narayanan, Xikun Wu, Zheng Rong Yang
Mining viral protease data to extract cleavage knowledge. ISMB (2002)
Zheng Rong Yang
Analysing Health Inequalities Using SOM. WSOM (2001)
Zheng Rong Yang, Weiping Lu, Robert G. Harrison
Evolving Stacked Time Series Predictors with Multiple Window Scales and Sampling Gaps. Neural Process. Lett. 13 (3) (2001)
Zheng Rong Yang, Mark Zwolinski
Mutual Information Theory for Adaptive Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 23 (4) (2001)
Zheng Rong Yang
Stability Analysis of Financial Ratios. IDEAL (2000)
Zheng Rong Yang, Mark Zwolinski
Applying Mutual Information to Adaptive Mixture Models. IDEAL (2000)
Zheng Rong Yang, Weiping Lu, Dejin Yu, Robert G. Harrison
Detecting False Benign in Breast Cancer Diagnosis. IJCNN (3) (2000)
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. Comput. Aided Des. Integr. Circuits Syst. 19 (1) (2000)
Zheng Rong Yang, Robert G. Harrison, Weiping Lu
Identifying Health Inequalities Using Artificial Neural Networks (WHO Data). IJCNN (4) (2000)
Zheng Rong Yang, Mark Zwolinski
Fast, Robust DC and Transient Fault Simulation for Nonlinear Analog Circuits. DATE (1999)
Zheng Rong Yang, Sheng Chen
Robust maximum likelihood training of heteroscedastic probabilistic neural networks. Neural Networks 11 (4) (1998)