C.胚胎基因表达起始的贝叶斯检测elegans
Bayesian detection of embryonic gene expression onset in C. elegans
摘要：
为了研究受精卵是如何发育成具有不同组织的胚胎的，利用大规模的C.实验生物学家最近制造出了秀丽线虫的胚胎。然而，缺乏原则性的统计方法的高度噪声数据，阻碍了这些数据集的全面分析。我们在细胞谱系树上引入了一个概率变点模型来估计胚胎基因表达开始的时间。贝叶斯方法用于将4D共焦电影数据拟合到模型。随后的分类方法用于决定模型选择阈值，并进一步将表达起始时间从分支水平细化到特定细胞时间水平。大量的模拟表明，我们的方法的高精度。它的实际数据的应用产生了以前已知的结果和新的发现。
英文摘要：
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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