Cao Zhixing, Wang Yiling, Grima Ramon
State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China.
Department of Chemical Engineering, Queen's University, Kingston, ON, Canada.
NPJ Syst Biol Appl. 2025 Jan 11;11(1):6. doi: 10.1038/s41540-025-00490-5.
We report the existence of deterministic patterns in statistical plots of single-cell transcriptomic data. We develop a theory showing that the patterns are neither artifacts introduced by the measurement process nor due to underlying biological mechanisms. Rather they naturally emerge from finite sample size effects. The theory precisely predicts the patterns in data from multiplexed error-robust fluorescence in situ hybridization and five different types of single-cell sequencing platforms.
我们报告了单细胞转录组数据统计图表中确定性模式的存在。我们提出了一种理论，表明这些模式既不是测量过程引入的假象，也不是由于潜在的生物学机制。相反，它们是由有限样本量效应自然产生的。该理论精确预测了来自多路复用误差稳健荧光原位杂交和五种不同类型单细胞测序平台的数据中的模式。
