Robust maximum likelihood training of heteroscedastic probabilistic neural networks. - Zheng Rong Yang; Sheng Chen 001 (Neural Networks, 1998)

Fast, Robust DC and Transient Fault Simulation for Nonlinear Analog Circuits. - Zheng Rong Yang; Mark Zwolinski (DATE, 1999)

Stability Analysis of Financial Ratios. - Zheng Rong Yang (IDEAL, 2000)

Applying Mutual Information to Adaptive Mixture Models. - Zheng Rong Yang; Mark Zwolinski (IDEAL, 2000)

Identifying Health Inequalities Using Artificial Neural Networks (WHO Data). - Zheng Rong Yang; Robert G. Harrison; Weiping Lu (IJCNN (4), 2000)

Detecting False Benign in Breast Cancer Diagnosis. - Zheng Rong Yang; Weiping Lu; Dejin Yu; Robert G. Harrison (IJCNN (3), 2000)

Applying a robust heteroscedastic probabilistic neural network toanalog fault detection and classification. - Zheng Rong Yang; Mark Zwolinski; Chris D. Chalk; Alan Christopher Williams (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2000)

Analysing Health Inequalities Using SOM. - Zheng Rong Yang (WSOM, 2001)

Evolving Stacked Time Series Predictors with Multiple Window Scales and Sampling Gaps. - Zheng Rong Yang; Weiping Lu; Robert G. Harrison (Neural Process. Lett., 2001)

Mutual Information Theory for Adaptive Mixture Models. - Zheng Rong Yang; Mark Zwolinski (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Mining viral protease data to extract cleavage knowledge. - Ajit Narayanan; Xikun Wu; Zheng Rong Yang (ISMB, 2002)

Analysing company performance using templates. - Zheng Rong Yang; Robert G. Harrison (Intell. Data Anal., 2002)

Support vector machines for company failure prediction. - Zheng Rong Yang (CIFEr, 2003)

A Biology Inspired Neural Learning Algorithm for Analysing Protein Sequence. - Emily A. Berry; Zheng Rong Yang; Xikun Wu (ICTAI, 2003)

Characterizing proteolytic cleavage site activity using bio-basis function neural networks. - Rebecca Thomson; T. Charles Hodgman; Zheng Rong Yang; Austin K. Doyle (Bioinform., 2003)

Mining Biological Data Using Self-Organizing Map. - Zheng Rong Yang; Kuo-Chen Chou (J. Chem. Inf. Comput. Sci., 2003)

An unsupervised probabilistic net for health inequalities analysis. - Zheng Rong Yang; Robert G. Harrison (IEEE Trans. Neural Networks, 2003)

Biological applications of support vector machines. - Zheng Rong Yang (Briefings Bioinform., 2004)

Mining gene expression data based on template theory. - Zheng Rong Yang (Bioinform., 2004)

Bio-support vector machines for computational proteomics. - Zheng Rong Yang; Kuo-Chen Chou (Bioinform., 2004)

Predicting the linkage sites in glycoproteins using bio-basis function neural network. - Zheng Rong Yang; Kuo-Chen Chou (Bioinform., 2004)

Mining HIV protease cleavage data using genetic programming with a sum-product function. - Zheng Rong Yang; Andrew R. Dalby; Jing Qiu (Bioinform., 2004)

Reduced bio basis function neural network for identification of protein phosphorylation sites: comparison with pattern recognition algorithms. - Emily A. Berry; Andrew R. Dalby; Zheng Rong Yang (Comput. Biol. Chem., 2004)

Reduced Bio-basis Function Neural Networks for Protease Cleavage Site Prediction. - Zheng Rong Yang; Emily A. Berry (J. Bioinform. Comput. Biol., 2004)

Evaluation of Mutual Information and Genetic Programming for Feature Selection in QSAR. - Vishwesh Venkatraman; Andrew R. Dalby; Zheng Rong Yang (J. Chem. Inf. Model., 2004)

Bio-kernel Self-organizing Map for HIV Drug Resistance Classification. - Zheng Rong Yang; Natasha Young (ICNC (1), 2005)

Bayesian Radial Basis Function Neural Network. - Zheng Rong Yang (IDEAL, 2005)

Prediction of caspase cleavage sites using Bayesian bio-basis function neural networks. - Zheng Rong Yang (Bioinform., 2005)

Mining SARS-CoV protease cleavage data using non-orthogonal decision trees: a novel method for decisive template selection. - Zheng Rong Yang (Bioinform., 2005)

RONN: the bio-basis function neural network technique applied to the detection of natively disordered regions in proteins. - Zheng Rong Yang; Rebecca Thomson; Philip McNeil; Robert Esnouf (Bioinform., 2005)

Predicting the Phosphorylation Sites Using Hidden Markov Models and Machine Learning Methods. - Pasak Senawongse; Andrew R. Dalby; Zheng Rong Yang (J. Chem. Inf. Model., 2005)

Prediction of T-Cell Epitopes Using Biosupport Vector Machines. - Zheng Rong Yang; Felicia Charles Johnson (J. Chem. Inf. Model., 2005)

Bio-basis function neural network for prediction of protease cleavage sites in proteins. - Zheng Rong Yang; Rebecca Thomson (IEEE Trans. Neural Networks, 2005)

Orthogonal kernel Machine for the prediction of functional sites in proteins. - Zheng Rong Yang (IEEE Trans. Syst. Man Cybern. Part B, 2005)

A Fast Algorithm for Relevance Vector Machine. - Zheng Rong Yang (IDEAL, 2006)

Multivariate Crosstalk Models. - Natasha Young; Zheng Rong Yang (IDEAL, 2006)

Improved Prediction of HIV-1 Protease Genotypic Resistance Testing Assays using a Consensus Technique. - Alex C. Thomas; Zheng Rong Yang (IJCNN, 2006)

Predicting HIV-1 T Cell Epitopes Using Bio-basis Function Neural Networks. - David C. Trudgian; Felicia Charles Johnson; Zheng Rong Yang (IJCNN, 2006)

A bio-basis function neural network for protein peptide cleavage activity characterisation. - Zheng Rong Yang; Jonathan Dry; Rebecca Thomson; T. Charles Hodgman (Neural Networks, 2006)

Predicting Hepatitis C Virus Protease Cleavage Sites Using Generalized Linear Indicator Regression Models. - Zheng Rong Yang (IEEE Trans. Biomed. Eng., 2006)

A novel radial basis function neural network for discriminant analysis. - Zheng Rong Yang (IEEE Trans. Neural Networks, 2006)

Substitution Matrix Optimisation for Peptide Classification. - David C. Trudgian; Zheng Rong Yang (EvoBIO, 2007)

A Sparse Bayesian Position Weighted Bio-Kernel Network. - David C. Trudgian; Zheng Rong Yang (IDEAL, 2007)

Peptide Classification with Genetic Programming Ensemble of Generalised Indicator Models. - Zheng Rong Yang (IMECS, 2007)

Predicting Palmitoylation Sites Using a Regularised Bio-basis Function Neural Network. - Zheng Rong Yang (ISBRA, 2007)

A Probabilistic Peptide Machine for Predicting Hepatitis C Virus Protease Cleavage Sites. - Zheng Rong Yang (IEEE Trans. Inf. Technol. Biomed., 2007)

Crosstalk and Signalling Pathway Complexity - A Case Study on Synthetic Models. - Zheng Rong Yang (HAIS, 2008)

Explore Residue Significance in Peptide Classification. - Zheng Rong Yang (HAIS, 2008)

Single-Layer Neural Net Competes with Multi-layer Neural Net. - Zheng Rong Yang (IDEAL, 2008)

Peptide Bioinformatics- Peptide Classification Using Peptide Machines. - Zheng Rong Yang (Artificial Neural Networks, 2009)

A genetic programming approach for Burkholderia Pseudomallei diagnostic pattern discovery. - Zheng Rong Yang; Ganjana Lertmemongkolchai; Gladys Tan; Philip L. Felgner; Richard W. Titball (Bioinform., 2009)

Predict prokaryotic proteins through detecting N-formylmethionine residues in protein sequences using support vector machine. - Zheng Rong Yang (Biosyst., 2009)

Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy. - Zheng Rong Yang (BMC Bioinform., 2009)

Predict Collagen Hydroxyproline Sites Using Support Vector Machines. - Zheng Rong Yang (J. Comput. Biol., 2009)

Machine Learning Approaches to Bioinformatics - Zheng Rong Yang (World Scientific, 2010)

A Mixture Model Classifier and its Application on the Biomedical Time Series. - Zhijun Yang; Zheng Rong Yang; Trygve Eftestøl; Petter Andreas Steen; Weiping Lu; Robert G. Harrison (Appl. Artif. Intell., 2012)

SLC- and NDUF-genes expression dynamics in pre-implantation embryonic development between bovine and mouse - A bioinformatics study. - Louisa Knocker; Zheng Rong Yang (BMEI, 2014)

A consensus approach to predict regulatory interactions. - Suhaib Mohammed; Ozgur E. Akman; Zheng Rong Yang (BMEI, 2014)

A mean pattern model for integrative study - Integrative self-organizing map. - ZiHua Yang; Abdullatif Alwatban; Zheng Rong Yang (BMEI, 2014)

Multivariate multi-scale Gaussian for microarray unsupervised classification. - Amelia King; ZiHua Yang; Zheng Rong Yang (IJCNN, 2014)

Biological Pattern Discovery with R - Machine Learning Approaches - Zheng Rong Yang (Biological Pattern Discovery with R, 2021)

Bio-Kernel Machines and Applications - Zheng Rong Yang (WorldScientific, 2024)