Frank Burden
Affiliations: | Chemistry | Monash Univerisity |
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| Burden FR, Winkler DA. (2015) Relevance Vector Machines: Sparse Classification Methods for QSAR. Journal of Chemical Information and Modeling. 55: 1529-34 |
| Autefage H, Gentleman E, Littmann E, et al. (2015) Sparse feature selection methods identify unexpected global cellular response to strontium-containing materials. Proceedings of the National Academy of Sciences of the United States of America. 112: 4280-5 |
| Huh YH, Noh M, Burden FR, et al. (2015) Sparse feature selection identifies H2A.Z as a novel, pattern-specific biomarker for asymmetrically self-renewing distributed stem cells. Stem Cell Research. 14: 144-54 |
| Le TC, Mulet X, Burden FR, et al. (2013) Predicting the complex phase behavior of self-assembling drug delivery nanoparticles. Molecular Pharmaceutics. 10: 1368-77 |
| Epa VC, Burden FR, Tassa C, et al. (2012) Modeling biological activities of nanoparticles. Nano Letters. 12: 5808-12 |
| Winkler DA, Burden FR. (2012) Robust, quantitative tools for modelling ex-vivo expansion of haematopoietic stem cells and progenitors. Molecular Biosystems. 8: 913-20 |
| Le T, Epa VC, Burden FR, et al. (2012) Quantitative structure-property relationship modeling of diverse materials properties. Chemical Reviews. 112: 2889-919 |
| Manallack DT, Burden FR, Winkler DA. (2010) Modelling inhalational anaesthetics using bayesian feature selection and QSAR modelling methods. Chemmedchem. 5: 1318-23 |
| Tarasova A, Burden F, Gasteiger J, et al. (2010) Robust modelling of solubility in supercritical carbon dioxide using Bayesian methods. Journal of Molecular Graphics & Modelling. 28: 593-7 |
| Winkler DA, Burden FR, Halley JD. (2009) Predictive mesoscale network model of cell fate decisions during C. elegans embryogenesis. Artificial Life. 15: 411-21 |