Cytometry A. 2011 Feb;79(2):95-101. doi: 10.1002/cyto.a.21010. Epub 2011 Jan 12.
There are several statistics that may be calculated to characterize a cellular proliferation experiment. By far, the most commonly-reported statistic is the percent of cells in the final culture that have divided; however, this statistic has significant limitations. Other statistics provided by software modeling provide a much richer characterization of the biological response; however, their use also comes with caveats. Here, I discuss the practical application of these statistics, including their limitations and interdependencies, using hypothetical data. The goal of this perspective is to prevent the blind reliance or overly optimistic ("panglossian") interpretation of the statistics generated by software, so that researchers and reviewers have a more-informed basis for drawing conclusions from the data.
有几个可以用来描述细胞增殖实验的统计数据。到目前为止,最常报告的统计数据是最终培养物中分裂的细胞的百分比;然而,这个统计数据有很大的局限性。软件建模提供的其他统计数据提供了对生物反应的更丰富的描述;然而,它们的使用也有一些注意事项。在这里,我使用假设数据讨论了这些统计数据的实际应用,包括它们的局限性和相互依赖性。本观点的目的是防止盲目依赖或过度乐观(“盲目乐观主义”)地解释软件生成的统计数据,以便研究人员和评论员有一个更明智的基础来从数据中得出结论。