Leiden Institute of Physics, Leiden University, Leiden, The Netherlands.
Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands.
Genome Biol. 2022 Jan 10;23(1):18. doi: 10.1186/s13059-021-02590-x.
The ability to discover new cell phenotypes by unsupervised clustering of single-cell transcriptomes has revolutionized biology. Currently, there is no principled way to decide whether a cluster of cells contains meaningful subpopulations that should be further resolved. Here, we present phiclust (ϕ), a clusterability measure derived from random matrix theory that can be used to identify cell clusters with non-random substructure, testably leading to the discovery of previously overlooked phenotypes.
通过无监督的单细胞转录组聚类来发现新的细胞表型的能力已经彻底改变了生物学。目前，没有一种有原则的方法可以决定一个细胞簇是否包含应该进一步解析的有意义的亚群。在这里，我们提出了 phiclust（ϕ），这是一种源自随机矩阵理论的聚类度量，可以用来识别具有非随机亚结构的细胞簇，从而可以发现以前被忽视的表型。
