Barnes:Publications
Selected Recent Publications
PLoS Comput Biol, 10(6), e1003650. doi:10.1371/journal.pcbi.1003650
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
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
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
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
Considerate approaches to constructing summary statistics for ABC model selection. Statistics and Computing, 1-17.
Bayesian design of synthetic biological systems. Proc Natl Acad Sci U S A, 108(37), 15190-15195. doi:10.1073/pnas.1017972108
GPU accelerated biochemical network simulation.. Bioinformatics, 27(6), 874-876. doi:10.1093/bioinformatics/btr015
Computational design approaches and tools for synthetic biology. Integr Biol (Camb), 3(2), 97-108. doi:10.1039/c0ib00077a
Bayesian design strategies for synthetic biology. Interface Focus, 1(6), 895-908. doi:10.1098/rsfs.2011.0056
Designing attractive models via automated identification of chaotic and oscillatory dynamical regimes.. Nat Commun, 2, 489. doi:10.1038/ncomms1496
ABC-SysBio--approximate Bayesian computation in Python with GPU support. Bioinformatics, 26(14), 1797-1799. doi:10.1093/bioinformatics/btq278 |