DTFLOW: Inference and Visualization of Single-cell Pseudotime Trajectory Using Diffusion Propagation.

ABSTRACT: One of the major challenges in single-cell data analysis is the determination of cellular developmental trajectories using single-cell data. Although substantial studies have been conducted in recent years, more effective methods are still strongly needed to infer the developmental processes accurately. This work devises a new method, named DTFLOW, for determining the pseudo-temporal trajectories with multiple branches. DTFLOW consists of two major steps: a new method called Bhattacharyya kernel feature decomposition (BKFD) to reduce the data dimensions, and a novel approach named Reverse Searching on k-nearest neighbor graph (RSKG) to identify the multi-branching processes of cellular differentiation. In BKFD, we first establish a stationary distribution for each cell to represent the tra

SUBMITTER: Wei J 

PROVIDER: S-EPMC8602766 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature