Open Access
June 2015 Bayesian detection of embryonic gene expression onset in C. elegans
Jie Hu, Zhongying Zhao, Hari Krishna Yalamanchili, Junwen Wang, Kenny Ye, Xiaodan Fan
Ann. Appl. Stat. 9(2): 950-968 (June 2015). DOI: 10.1214/15-AOAS820


To study how a zygote develops into an embryo with different tissues, large-scale 4D confocal movies of C. elegans embryos have been produced recently by experimental biologists. However, the lack of principled statistical methods for the highly noisy data has hindered the comprehensive analysis of these data sets. We introduced a probabilistic change point model on the cell lineage tree to estimate the embryonic gene expression onset time. A Bayesian approach is used to fit the 4D confocal movies data to the model. Subsequent classification methods are used to decide a model selection threshold and further refine the expression onset time from the branch level to the specific cell time level. Extensive simulations have shown the high accuracy of our method. Its application on real data yields both previously known results and new findings.


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Jie Hu. Zhongying Zhao. Hari Krishna Yalamanchili. Junwen Wang. Kenny Ye. Xiaodan Fan. "Bayesian detection of embryonic gene expression onset in C. elegans." Ann. Appl. Stat. 9 (2) 950 - 968, June 2015.


Received: 1 September 2014; Revised: 1 January 2015; Published: June 2015
First available in Project Euclid: 20 July 2015

zbMATH: 06499938
MathSciNet: MR3371343
Digital Object Identifier: 10.1214/15-AOAS820

Keywords: 4D confocal microscopy , Bayesian method , change point detection , embryonic onset

Rights: Copyright © 2015 Institute of Mathematical Statistics

Vol.9 • No. 2 • June 2015
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