Preprocessing choices affect RNA velocity results for droplet scRNA-seq data.

ABSTRACT: Experimental single-cell approaches are becoming widely used for many purposes, including investigation of the dynamic behaviour of developing biological systems. Consequently, a large number of computational methods for extracting dynamic information from such data have been developed. One example is RNA velocity analysis, in which spliced and unspliced RNA abundances are jointly modeled in order to infer a 'direction of change' and thereby a future state for each cell in the gene expression space. Naturally, the accuracy and interpretability of the inferred RNA velocities depend crucially on the correctness of the estimated abundances. Here, we systematically compare five widely used quantification tools, in total yielding thirteen different quantification approaches, in terms of their e

SUBMITTER: Soneson C 

PROVIDER: S-EPMC7822509 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature