Data-Driven Techniques for Detecting Dynamical State Changes in Noisily Measured 3D Single-Molecule Trajectories

Data-Driven Techniques for Detecting Dynamical State Changes in Noisily Measured 3D Single-Molecule Trajectories

Optical microscopes and nanoscale probes (AFM, optical tweezers, etc.) afford researchers tools capable of quantitatively exploring how molecules interact with one another in live cells. The analysis of in vivo single-molecule experimental data faces numerous challenges due to the complex, crowded,...

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Bibliographic Details
Main Author:	Christopher P. Calderon
Format:	Article
Language:	English
Published:	MDPI AG 2014-11-01
Series:	Molecules
Subjects:	single particle tracking hierarchical Dirichlet processes switching linear dynamical systems measurement/localization noise effects nonparametric Bayesian techniques prior sensitivity
Online Access:	http://www.mdpi.com/1420-3049/19/11/18381

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Correction: Calderon, C.P. Data-Driven Techniques for Detecting Dynamical State Changes in Noisily Measured 3D Single-Molecule Trajectories. Molecules 19, 18381-18398
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