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Bayesian Spatio-Dynamic Modeling in Cell Motility Studies: Learning Nonlinear Taxic Fields Guiding the Immune Response

Manolopoulou, I; Matheu, MP; Cahalan, MD; West, M; Kepler, TB; (2012) Bayesian Spatio-Dynamic Modeling in Cell Motility Studies: Learning Nonlinear Taxic Fields Guiding the Immune Response. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION , 107 (499) pp. 855-865. 10.1080/01621459.2012.655995.

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Type: Article
Title: Bayesian Spatio-Dynamic Modeling in Cell Motility Studies: Learning Nonlinear Taxic Fields Guiding the Immune Response
DOI: 10.1080/01621459.2012.655995
Keywords: Science & Technology, Physical Sciences, Statistics & Probability, Mathematics, Bayesian kemel regression, Chemotaxis, Hierarchical dynamic models, Immune response monitoring, Markov chain Monte Carlo, Nonlinear stochastic dynamics, Potential field gradients, Radial basis regression, Single-cell tracking, State-space models, Taxic responses, 2-PHOTON MICROSCOPY, MIGRATION, INFERENCE, NETWORKS
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Maths and Physical Sciences
URI: http://discovery.ucl.ac.uk/id/eprint/1361669
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