Zheng Rong Yang

63 papers A 2B 4C 8Misc 2Journal 32Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	—	`book`	Bio-Kernel Machines and Applications Zheng Rong Yang
2021	—	`book`	Biological Pattern Discovery with R - Machine Learning Approaches Biological Pattern Discovery with R Zheng Rong Yang
2014	—	`conf`	A consensus approach to predict regulatory interactions. BMEI Suhaib Mohammed, Ozgur E. Akman, Zheng Rong Yang
2014	—	`conf`	A mean pattern model for integrative study - Integrative self-organizing map. BMEI Zihua Yang, Abdullatif Alwatban, Zheng Rong Yang
2014	B	`conf`	Multivariate multi-scale Gaussian for microarray unsupervised classification. IJCNN Amelia King, Zihua Yang, Zheng Rong Yang
2014	—	`conf`	SLC- and NDUF-genes expression dynamics in pre-implantation embryonic development between bovine and mouse - A bioinformatics study. BMEI Louisa Knocker, Zheng Rong Yang
2012	J	`jnl`	A Mixture Model Classifier and its Application on the Biomedical Time Series. Appl. Artif. Intell. Zhijun Yang, Zheng Rong Yang, Trygve Eftestøl, Petter Andreas Steen, Weiping Lu, Robert G. Harrison
2010	—	`book`	Machine Learning Approaches to Bioinformatics Zheng Rong Yang
2009	J	`jnl`	A genetic programming approach for Bioinform. Zheng Rong Yang, Ganjana Lertmemongkolchai, Gladys Tan, Philip L. Felgner, Richard W. Titball
2009	—	`ch.`	Peptide Bioinformatics- Peptide Classification Using Peptide Machines. Artificial Neural Networks Zheng Rong Yang
2009	J	`jnl`	Predict Collagen Hydroxyproline Sites Using Support Vector Machines. J. Comput. Biol. Zheng Rong Yang
2009	J	`jnl`	Predict prokaryotic proteins through detecting N-formylmethionine residues in protein sequences using support vector machine. Biosyst. Zheng Rong Yang
2009	J	`jnl`	Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy. BMC Bioinform. Zheng Rong Yang
2008	Misc	`conf`	Crosstalk and Signalling Pathway Complexity - A Case Study on Synthetic Models. HAIS Zheng Rong Yang
2008	Misc	`conf`	Explore Residue Significance in Peptide Classification. HAIS Zheng Rong Yang
2008	C	`conf`	Single-Layer Neural Net Competes with Multi-layer Neural Net. IDEAL Zheng Rong Yang
2007	J	`jnl`	A Probabilistic Peptide Machine for Predicting Hepatitis C Virus Protease Cleavage Sites. IEEE Trans. Inf. Technol. Biomed. Zheng Rong Yang
2007	C	`conf`	A Sparse Bayesian Position Weighted Bio-Kernel Network. IDEAL David C. Trudgian, Zheng Rong Yang
2007	—	`conf`	Peptide Classification with Genetic Programming Ensemble of Generalised Indicator Models. IMECS Zheng Rong Yang
2007	—	`conf`	Predicting Palmitoylation Sites Using a Regularised Bio-basis Function Neural Network. ISBRA Zheng Rong Yang
2007	—	`conf`	Substitution Matrix Optimisation for Peptide Classification. EvoBIO David C. Trudgian, Zheng Rong Yang
2006	C	`conf`	A Fast Algorithm for Relevance Vector Machine. IDEAL Zheng Rong Yang
2006	J	`jnl`	A bio-basis function neural network for protein peptide cleavage activity characterisation. Neural Networks Zheng Rong Yang, Jonathan Dry, Rebecca Thomson, T. Charles Hodgman
2006	J	`jnl`	A novel radial basis function neural network for discriminant analysis. IEEE Trans. Neural Networks Zheng Rong Yang
2006	B	`conf`	Improved Prediction of HIV-1 Protease Genotypic Resistance Testing Assays using a Consensus Technique. IJCNN Alex C. Thomas, Zheng Rong Yang
2006	C	`conf`	Multivariate Crosstalk Models. IDEAL Natasha Young, Zheng Rong Yang
2006	B	`conf`	Predicting HIV-1 T Cell Epitopes Using Bio-basis Function Neural Networks. IJCNN David C. Trudgian, Felicia Charles Johnson, Zheng Rong Yang
2006	J	`jnl`	Predicting Hepatitis C Virus Protease Cleavage Sites Using Generalized Linear Indicator Regression Models. IEEE Trans. Biomed. Eng. Zheng Rong Yang
2005	C	`conf`	Bayesian Radial Basis Function Neural Network. IDEAL Zheng Rong Yang
2005	J	`jnl`	Bio-basis function neural network for prediction of protease cleavage sites in proteins. IEEE Trans. Neural Networks Zheng Rong Yang, Rebecca Thomson
2005	—	`conf`	Bio-kernel Self-organizing Map for HIV Drug Resistance Classification. ICNC (1) Zheng Rong Yang, Natasha Young
2005	J	`jnl`	Mining SARS-CoV protease cleavage data using non-orthogonal decision trees: a novel method for decisive template selection. Bioinform. Zheng Rong Yang
2005	J	`jnl`	Orthogonal kernel Machine for the prediction of functional sites in proteins. IEEE Trans. Syst. Man Cybern. Part B Zheng Rong Yang
2005	J	`jnl`	Predicting the Phosphorylation Sites Using Hidden Markov Models and Machine Learning Methods. J. Chem. Inf. Model. Pasak Senawongse, Andrew R. Dalby, Zheng Rong Yang
2005	J	`jnl`	Prediction of T-Cell Epitopes Using Biosupport Vector Machines. J. Chem. Inf. Model. Zheng Rong Yang, Felicia Charles Johnson
2005	J	`jnl`	Prediction of caspase cleavage sites using Bayesian bio-basis function neural networks. Bioinform. Zheng Rong Yang
2005	J	`jnl`	RONN: the bio-basis function neural network technique applied to the detection of natively disordered regions in proteins. Bioinform. Zheng Rong Yang, Rebecca Thomson, Philip McNeil, Robert Esnouf
2004	J	`jnl`	Bio-support vector machines for computational proteomics. Bioinform. Zheng Rong Yang, Kuo-Chen Chou
2004	J	`jnl`	Biological applications of support vector machines. Briefings Bioinform. Zheng Rong Yang
2004	J	`jnl`	Evaluation of Mutual Information and Genetic Programming for Feature Selection in QSAR. J. Chem. Inf. Model. Vishwesh Venkatraman, Andrew R. Dalby, Zheng Rong Yang
2004	C	`ed.`	Intelligent Data Engineering and Automated Learning - IDEAL 2004, 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings IDEAL Zheng Rong Yang, Richard M. Everson, Hujun Yin
2004	J	`jnl`	Mining HIV protease cleavage data using genetic programming with a sum-product function. Bioinform. Zheng Rong Yang, Andrew R. Dalby, Jing Qiu
2004	J	`jnl`	Mining gene expression data based on template theory. Bioinform. Zheng Rong Yang
2004	J	`jnl`	Predicting the linkage sites in glycoproteins using bio-basis function neural network. Bioinform. Zheng Rong Yang, Kuo-Chen Chou
2004	J	`jnl`	Reduced Bio-basis Function Neural Networks for Protease Cleavage Site Prediction. J. Bioinform. Comput. Biol. Zheng Rong Yang, Emily A. Berry
2004	J	`jnl`	Reduced bio basis function neural network for identification of protein phosphorylation sites: comparison with pattern recognition algorithms. Comput. Biol. Chem. Emily A. Berry, Andrew R. Dalby, Zheng Rong Yang
2003	B	`conf`	A Biology Inspired Neural Learning Algorithm for Analysing Protein Sequence. ICTAI Emily A. Berry, Zheng Rong Yang, Xikun Wu
2003	J	`jnl`	An unsupervised probabilistic net for health inequalities analysis. IEEE Trans. Neural Networks Zheng Rong Yang, Robert G. Harrison
2003	J	`jnl`	Characterizing proteolytic cleavage site activity using bio-basis function neural networks. Bioinform. Rebecca Thomson, T. Charles Hodgman, Zheng Rong Yang, Austin K. Doyle
2003	J	`jnl`	Mining Biological Data Using Self-Organizing Map. J. Chem. Inf. Comput. Sci. Zheng Rong Yang, Kuo-Chen Chou
2003	—	`conf`	Support vector machines for company failure prediction. CIFEr Zheng Rong Yang
2002	J	`jnl`	Analysing company performance using templates. Intell. Data Anal. Zheng Rong Yang, Robert G. Harrison
2002	A	`conf`	Mining viral protease data to extract cleavage knowledge. ISMB Ajit Narayanan, Xikun Wu, Zheng Rong Yang
2001	—	`conf`	Analysing Health Inequalities Using SOM. WSOM Zheng Rong Yang
2001	J	`jnl`	Evolving Stacked Time Series Predictors with Multiple Window Scales and Sampling Gaps. Neural Process. Lett. Zheng Rong Yang, Weiping Lu, Robert G. Harrison
2001	J	`jnl`	Mutual Information Theory for Adaptive Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. Zheng Rong Yang, Mark Zwolinski
2000	C	`conf`	Applying Mutual Information to Adaptive Mixture Models. IDEAL Zheng Rong Yang, Mark Zwolinski
2000	J	`jnl`	Applying a robust heteroscedastic probabilistic neural network toanalog fault detection and classification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zheng Rong Yang, Mark Zwolinski, Chris D. Chalk, Alan Christopher Williams
2000	—	`conf`	Detecting False Benign in Breast Cancer Diagnosis. IJCNN (3) Zheng Rong Yang, Weiping Lu, Dejin Yu, Robert G. Harrison
2000	—	`conf`	Identifying Health Inequalities Using Artificial Neural Networks (WHO Data). IJCNN (4) Zheng Rong Yang, Robert G. Harrison, Weiping Lu
2000	C	`conf`	Stability Analysis of Financial Ratios. IDEAL Zheng Rong Yang
1999	A	`conf`	Fast, Robust DC and Transient Fault Simulation for Nonlinear Analog Circuits. DATE Zheng Rong Yang, Mark Zwolinski
1998	J	`jnl`	Robust maximum likelihood training of heteroscedastic probabilistic neural networks. Neural Networks Zheng Rong Yang, Sheng Chen