A multiresolution framework to characterize single-cell state landscapes

Abstract

Dissecting the cellular heterogeneity embedded in single-cell transcriptomic data is challenging. Here, the authors introduce the concept of multiresolution cell-state decomposition as a practical approach to simultaneously capture both fine- and coarse-grain patterns of variability.