Introduction
Downloads
- C. botulinum dataset (botdata.txt)
Acknowledgements
This work was supported by a grant from the U.K. Biotechnology and Biological Research Council (BBSRC) (grant number D17534 - "Kernel methods for growth domain modelling and experimental design").
References
N.B. doi represents a link to on-line material via the Digital Object Identifier DOI system, where available. www represents a link to on-line materials available via the publisher's web-site.
| [1] | G. C. Cawley, N. L. C. Talbot, G. J. Janacek and M. W. Peck, Sparse Bayesian kernel survival analysis for modelling the growth domain of microbial pathogens, IEEE Transactions on Neural Networks, volume 17, number 2, pages 471-481, March 2006. (doi) |
| [2] | Fernández, P. S. and Peck, M. W., A predictive model that describes the effect of prolonged heating at 70-80°C and incubation at refrigeration temperatures on growth an toxigenesis by nonproteolytic Clostridium botulinum, Journal of Food Protection, volume 60, pages 1064-1071, 1997. |
| [3] | Fernández, P. S. and Peck, M. W., A predictive model that describes the effect of prolonged heating at 70 to 90°C and subsequent incubation at refrigeration temperatures on growth from spores and toxigenesis by nonproteolytic Clostridium botulinum in the presence of lysozyme, Applied and Environmental Microbiology, volume. 65, number 8, pages 3449-3457, August 1999. (www) |
Research Team: Gavin Cawley, Nicola Talbot, Gareth Janacek, Michael Peck (IFR).
