Inference of high-resolution trajectories in single-cell RNA-seq data by using RNA velocity

Ziqi Zhang, Xiuwei Zhang

Abstract: Trajectory inference (TI) methods are used to infer cell trajectories in a biological process. Most of the current TI methods use only single-cell gene expression information. These methods are often restricted to certain trajectory structures, such as linear or tree structures, and the direction of the trajectory is hard to determine. On the other hand, RNA velocity inference methods have been developed to predict short-term cell dynamics, and TI methods taking advantage of RNA velocity information have been recently proposed. However, these types of methods are still in their infancy and there are several limitations with existing methods. We present CellPath, which infers cell trajectories by integrating single-cell gene expression and RNA velocity information.