Bayesian Inference Approaches for Particle Trajectory Analysis in Cell Biology

Bayesian Inference Approaches for Particle Trajectory Analysis in Cell Biology

Despite the importance of single particle motion in biological systems, systematic inference approaches to analyze particle trajectories and evaluate competing motion models are lacking. An automated approach for robust evaluation of motion models that does not require manual intervention is highly...

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Bibliographic Details
Main Author: Monnier, Nilah
Other Authors: Bathe, Mark
Language:en_US
Published: Harvard University 2013
Subjects:
Biophysics
Bayesian inference
cell biology
hidden Markov models
mean-square displacement
particle trajectories
Online Access:http://dissertations.umi.com/gsas.harvard:11020
http://nrs.harvard.edu/urn-3:HUL.InstRepos:10984867

Internet

http://dissertations.umi.com/gsas.harvard:11020
http://nrs.harvard.edu/urn-3:HUL.InstRepos:10984867

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