GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge

Abstract

Inference and representation of differentiation trajectories from single cell RNA-seq data remains a challenge. Here, the authors offer a visualization approach that captures both continuous differentiation trajectories and discrete clusters representing metastable states along the trajectories.