TCM visualizes trajectories and cell populations from single cell data

Abstract

Time series single cell expression data has large variance between time points and is challenging for analysis. Here, the authors develop a new dimension reduction and data visualization tool for large scale temporal scRNA-seq data which identifies trajectories and subpopulations.