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一种新型的流式细胞术数据分析与解释的统计方法。

A novel statistical analysis and interpretation of flow cytometry data.

机构信息

Center for Research in Scientific Computation and Center for Quantitative Sciences in Biomedicine, North Carolina State University, Raleigh, NC 27695-8212, USA.

出版信息

J Biol Dyn. 2013;7(1):96-132. doi: 10.1080/17513758.2013.812753.

Abstract

A recently developed class of models incorporating the cyton model of population generation structure into a conservation-based model of intracellular label dynamics is reviewed. Statistical aspects of the data collection process are quantified and incorporated into a parameter estimation scheme. This scheme is then applied to experimental data for PHA-stimulated CD4+T and CD8+T cells collected from two healthy donors. This novel mathematical and statistical framework is shown to form the basis for accurate, meaningful analysis of cellular behaviour for a population of cells labelled with the dye carboxyfluorescein succinimidyl ester and stimulated to divide.

摘要

本文回顾了一类最近开发的模型,这些模型将细胞群体生成结构的细胞模型纳入到基于细胞内标记动力学的保护模型中。对数据收集过程的统计方面进行了量化,并将其纳入参数估计方案中。然后,将该方案应用于从两个健康供体收集的 PHA 刺激的 CD4+T 和 CD8+T 细胞的实验数据。该新的数学和统计框架被证明是对用荧光素琥珀酰亚胺酯标记并刺激分裂的细胞群体进行准确、有意义的细胞行为分析的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e55a/3753657/3e3c30ca578e/tjbd7_96_f1.jpg

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