Bayesian spatio-dynamic modeling in cell motility studies: Learning nonlinear taxic fields guiding the immune response

Journal of the American Statistical Association

Volumn 107, Issue 499, 2012, Pages 855-865

  Manolopoulou, Ioanna ^a   Matheu, Melanie P ^b   Cahalan, Michael D ^b   West, Mike ^a   Kepler, Thomas B ^c  

^a Duke University   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Bayesian kernel 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

Indexed keywords

EID: 84870687500     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.2012.655995     Document Type: Article

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