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