National Institute of Standards and Technology, Gaithersburg, MD, United States of America.
PLoS One. 2022 Aug 11;17(8):e0269272. doi: 10.1371/journal.pone.0269272. eCollection 2022.
Single-cell measurements have revolutionized our understanding of heterogeneity in cellular response. However, there is no universally comparable way to assess single-cell measurement quality. Here, we show how information theory can be used to assess and compare single-cell measurement quality in bits, which provides a universally comparable metric for information content. We anticipate that the experimental and theoretical approaches we show here will generally enable comparisons of quality between any single-cell measurement methods.
单细胞测量技术极大地推动了我们对细胞反应异质性的理解。然而，目前还没有一种普遍可比的方法来评估单细胞测量的质量。在这里，我们展示了如何使用信息论来以比特为单位评估和比较单细胞测量质量，这为信息含量提供了一种普遍可比的度量标准。我们预计，我们在这里展示的实验和理论方法将能够普遍比较任何单细胞测量方法之间的质量。
