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101
Comparison of Linear and Nonlinear
Classification Algorithms for the Prediction of Drug and Chhemical
Metabolism by Human UDP-Glucuron0syltranferase Isoforms.
Michael J.Sorich, John O. Miners, Ross
A. McKinnon, David A. Winkler, Frank R. Burden and Paul A. Smith
J. Chemical Information and Computer
Science, 2003,43, 2019-2024.
102
Sorich MJ, Smith PA, Winkler DA,
Burden,F.R. Et Al., In Silico Prediction Of Chemical Metabolism By Human
UDP-Glucuronosyl-Transferase Isoforms: Evaluation Of Classification
Algorithms
Drug Metabolism Reviews 35: 333 Suppl. 2
2003
103
Gaussian Processes as Applied to
Quantitative –Structure-Activity Modelling in Designing Drugs And Crop
Protectants, F.Burden: in Processes Problems and Solutions,
Ford, M., Livingstone, D. eds., Elsevier
2003.
104
Winkler DA, Burden FR,
Modelling Blood-Brain Barrier Partitioning Using Bayesian Neural Nets
Journal Of Molecular Graphics & Modelling 22 (6): 499-505 2004
105
Bayesian neural nets for modeling in drug discovery
David A. Winkler and Frank R. Burden
BIOSILICO. 2, 104-111 May 2004
106
Predictive Bayesian neural network models of MHC Class II Peptide
Binding
Frank R. Burden, David A Winkler
Journal of Molecular Graphics & Modelling 23: 481-489 2005
107
Broad-Based Quantitative Structure-Activity Relationship Modeling of
Potency and Selectivity of Farnesyltransferase Inhibitors Using a
Bayesian Regularized Neural Network
Mitchell J. Polley, David A. Winkler, and Frank R. Burden
Journal of Medicinal Chemistry 47 (25): 6230-6238 2004
108
Predictive Human Intestinal Absorption QSAR Models Using Bayesian
Regularized Neural Networks.
Polley MJ, Burden FR, Winkler DA,
Australian Journal Of Chemistry 58 (12): 859-863, 2005
109 (Out of date order)
The use of baseflow urbidity to assess catchment condition
Ferdinands,T.R., Burden,F.R.
Ecohydrology and Hydrobiology , 2, 241-247, 2002
110
Nonlinear Predictive Modelling of MHC Class II Peptide Binding using
Bayesian Neural Networks, D A Winkler, F R. Burden, in Immunoinformatics:
predicting immunogenicity in silico (Methods in Molecular Biology
series), Flower, D. (Ed.), Humana Press 2006.
111
Simulation and modelling of chemical and biological complex systems,
Polley, MJ, Burden, FR, Winkler, DA, Aust. J. Chem. 2006, 39,859-864.
112
Bayesian Regularization of Neural Networks, Burden, FR, Winkler, DA,
in "Applications of Artificial Neural Networks in Chemistry and
Biology", Livingston, D (Ed.), Humana Press 2008
113
(2008) Towards a Rosetta Stone for the Stem Cell Genome: Stochastic
Gene Expression, Network Architecture and External Influences. Stem Cell
research. (in press)
114
Quantitative, predictive modelling of ex-vivo expansion of
haematopoietic stem cells.
Winkler, D. A,. Burden, F. R. and Halley, J. D., 2008 (in press)
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