Bayesian analysis of coupled cellular and nuclear trajectories for cell migration

Cell migration, the process by which cells move from one location to another, plays crucial roles in many biological events. While much research has been devoted to understand the process, most statistical cell migration models rely on using time‐lapse microscopy data from cell trajectories alone. H...

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Bibliographic Details
Published in:	Biometrics Vol. 78; no. 3; pp. 1209 - 1220
Main Authors:	Chakraborty, Saptarshi, Lan, Tian, Tseng, Yiider, Wong, Samuel W.K.
Format:	Journal Article
Language:	English
Published:	United States Blackwell Publishing Ltd 01-09-2022
Subjects:	Algorithms Angular distribution Bayesian analysis Bayesian hierarchical models Bivariate analysis bivariate angular data Cell adhesion & migration Cell culture Cell migration directional statistics Markov chain Monte Carlo Markov chains Mathematical models Motility Nuclei (cytology) Statistical analysis Time dependence Trajectories von Mises cosine distribution cell migration von Mises cosine distribution Bayesian hierarchical models directional statistics Markov chain Monte Carlo bivariate angular data
Online Access:	Get full text
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