Zheng Rong Yang

According to our database1, Zheng Rong Yang authored at least 62 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bio-Kernel Machines and Applications
WorldScientific, ISBN: 9789811287350, 2024

2021
Biological Pattern Discovery with R - Machine Learning Approaches
WorldScientific, ISBN: 9789811240133, 2021

2014
Multivariate multi-scale Gaussian for microarray unsupervised classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A mean pattern model for integrative study - Integrative self-organizing map.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

A consensus approach to predict regulatory interactions.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

SLC- and NDUF-genes expression dynamics in pre-implantation embryonic development between bovine and mouse - A bioinformatics study.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2012
A Mixture Model Classifier and its Application on the Biomedical Time Series.
Appl. Artif. Intell., 2012

2010
Machine Learning Approaches to Bioinformatics
Science, Engineering, and Biology Informatics 4, World Scientific, ISBN: 978-981-4466-78-3, 2010

2009
Predict Collagen Hydroxyproline Sites Using Support Vector Machines.
J. Comput. Biol., 2009

Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy.
BMC Bioinform., 2009

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

A genetic programming approach for <i>Burkholderia Pseudomallei</i> diagnostic pattern discovery.
Bioinform., 2009

Peptide Bioinformatics- Peptide Classification Using Peptide Machines.
Proceedings of the Artificial Neural Networks, 2009

2008
Single-Layer Neural Net Competes with Multi-layer Neural Net.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Explore Residue Significance in Peptide Classification.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

Crosstalk and Signalling Pathway Complexity - A Case Study on Synthetic Models.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

2007
A Probabilistic Peptide Machine for Predicting Hepatitis C Virus Protease Cleavage Sites.
IEEE Trans. Inf. Technol. Biomed., 2007

Predicting Palmitoylation Sites Using a Regularised Bio-basis Function Neural Network.
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007

Peptide Classification with Genetic Programming Ensemble of Generalised Indicator Models.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

A Sparse Bayesian Position Weighted Bio-Kernel Network.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Substitution Matrix Optimisation for Peptide Classification.
Proceedings of the Evolutionary Computation, 2007

2006
A novel radial basis function neural network for discriminant analysis.
IEEE Trans. Neural Networks, 2006

Predicting Hepatitis C Virus Protease Cleavage Sites Using Generalized Linear Indicator Regression Models.
IEEE Trans. Biomed. Eng., 2006

A bio-basis function neural network for protein peptide cleavage activity characterisation.
Neural Networks, 2006

Predicting HIV-1 T Cell Epitopes Using Bio-basis Function Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

Improved Prediction of HIV-1 Protease Genotypic Resistance Testing Assays using a Consensus Technique.
Proceedings of the International Joint Conference on Neural Networks, 2006

Multivariate Crosstalk Models.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

A Fast Algorithm for Relevance Vector Machine.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2005
Orthogonal kernel Machine for the prediction of functional sites in proteins.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Bio-basis function neural network for prediction of protease cleavage sites in proteins.
IEEE Trans. Neural Networks, 2005

Prediction of T-Cell Epitopes Using Biosupport Vector Machines.
J. Chem. Inf. Model., 2005

Predicting the Phosphorylation Sites Using Hidden Markov Models and Machine Learning Methods.
J. Chem. Inf. Model., 2005

RONN: the bio-basis function neural network technique applied to the detection of natively disordered regions in proteins.
Bioinform., 2005

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

Prediction of caspase cleavage sites using Bayesian bio-basis function neural networks.
Bioinform., 2005

Bayesian Radial Basis Function Neural Network.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Bio-kernel Self-organizing Map for HIV Drug Resistance Classification.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
Evaluation of Mutual Information and Genetic Programming for Feature Selection in QSAR.
J. Chem. Inf. Model., 2004

Reduced Bio-basis Function Neural Networks for Protease Cleavage Site Prediction.
J. Bioinform. Comput. Biol., 2004

Reduced bio basis function neural network for identification of protein phosphorylation sites: comparison with pattern recognition algorithms.
Comput. Biol. Chem., 2004

Mining HIV protease cleavage data using genetic programming with a sum-product function.
Bioinform., 2004

Predicting the linkage sites in glycoproteins using bio-basis function neural network.
Bioinform., 2004

Bio-support vector machines for computational proteomics.
Bioinform., 2004

Mining gene expression data based on template theory.
Bioinform., 2004

Biological applications of support vector machines.
Briefings Bioinform., 2004

2003
An unsupervised probabilistic net for health inequalities analysis.
IEEE Trans. Neural Networks, 2003

Mining Biological Data Using Self-Organizing Map.
J. Chem. Inf. Comput. Sci., 2003

Characterizing proteolytic cleavage site activity using bio-basis function neural networks.
Bioinform., 2003

A Biology Inspired Neural Learning Algorithm for Analysing Protein Sequence.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

Support vector machines for company failure prediction.
Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

2002
Analysing company performance using templates.
Intell. Data Anal., 2002

Mining viral protease data to extract cleavage knowledge.
Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002

2001
Mutual Information Theory for Adaptive Mixture Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

Evolving Stacked Time Series Predictors with Multiple Window Scales and Sampling Gaps.
Neural Process. Lett., 2001

Analysing Health Inequalities Using SOM.
Proceedings of the Advances in Self-Organising Maps, 2001

2000
Applying a robust heteroscedastic probabilistic neural network toanalog fault detection and classification.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2000

Detecting False Benign in Breast Cancer Diagnosis.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Identifying Health Inequalities Using Artificial Neural Networks (WHO Data).
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Applying Mutual Information to Adaptive Mixture Models.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

Stability Analysis of Financial Ratios.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999
Fast, Robust DC and Transient Fault Simulation for Nonlinear Analog Circuits.
Proceedings of the 1999 Design, 1999

1998
Robust maximum likelihood training of heteroscedastic probabilistic neural networks.
Neural Networks, 1998


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