Barnes:Publications

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Selected Recent Publications Silk, D., Kirk, P. D., Barnes, C. P., Toni, T., & Stumpf, M. P. (2014). Model selection in systems biology depends on experimental design. PLoS Comput Biol, 10(6), e1003650. doi:10.1371/journal.pcbi.1003650 Liepe, J., Kirk, P., Filippi, S., Toni, T., Barnes, C. P., & Stumpf, M. P. H. (2014). A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation. Nature Protocols, 9(2), 439-456. doi:10.1038/nprot.2014.025 Chaidos, A., Barnes, C. P., Cowan, G., May, P. C., Melo, V., Hatjiharissi, E., . . . Karadimitris, A. (2013). Clinical drug resistance linked to interconvertible phenotypic and functional states of tumor-propagating cells in multiple myeloma.. Blood, 121(2), 318-328. doi:10.1182/blood-2012-06-436220 Filippi, S., Barnes, C. P., Cornebise, J., & Stumpf, M. P. H. (2012). On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo. Statistical Applications in Genetics and Molecular Biology, 12(1). doi:10.1515/sagmb-2012-0069 Liepe, J., Taylor, H., Barnes, C. P., Huvet, M., Bugeon, L., Thorne, T., . . . Stumpf, M. P. (2012). Calibrating spatio-temporal models of leukocyte dynamics against in vivo live-imaging data using approximate Bayesian computation.. Integr Biol (Camb), 4(3), 335-345. doi:10.1039/c2ib00175f Barnes, C. P., Filippi, S., Stumpf, M. P. H., & Thorne, T. (2012). Considerate approaches to constructing summary statistics for ABC model selection. Statistics and Computing, 1-17. Barnes, C. P., Silk, D., Sheng, X., & Stumpf, M. P. (2011). Bayesian design of synthetic biological systems. Proc Natl Acad Sci U S A, 108(37), 15190-15195. doi:10.1073/pnas.1017972108 Zhou, Y., Liepe, J., Sheng, X., Stumpf, M. P., & Barnes, C. (2011). GPU accelerated biochemical network simulation.. Bioinformatics, 27(6), 874-876. doi:10.1093/bioinformatics/btr015 MacDonald, J. T., Barnes, C., Kitney, R. I., Freemont, P. S., & Stan, G. B. (2011). Computational design approaches and tools for synthetic biology. Integr Biol (Camb), 3(2), 97-108. doi:10.1039/c0ib00077a Barnes, C. P., Silk, D., & Stumpf, M. P. H. (2011). Bayesian design strategies for synthetic biology. Interface Focus, 1(6), 895-908. doi:10.1098/rsfs.2011.0056 Silk, D., Kirk, P. D., Barnes, C. P., Toni, T., Rose, A., Moon, S., . . . Stumpf, M. P. (2011). Designing attractive models via automated identification of chaotic and oscillatory dynamical regimes.. Nat Commun, 2, 489. doi:10.1038/ncomms1496 Liepe, J., Barnes, C., Cule, E., Erguler, K., Kirk, P., Toni, T., . . . Stumpf, M. P. (2010). ABC-SysBio--approximate Bayesian computation in Python with GPU support. Bioinformatics, 26(14), 1797-1799. doi:10.1093/bioinformatics/btq278