Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations.

ABSTRACT: 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_clust), 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.

SUBMITTER: Mircea M 

PROVIDER: S-EPMC8751334 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature