Comparison of clustering tools in R for medium-sized 10x Genomics single-cell RNA-sequencing data.

ABSTRACT: Background: The commercially available 10x Genomics protocol to generate droplet-based single cell RNA-seq (scRNA-seq) data is enjoying growing popularity among researchers. Fundamental to the analysis of such scRNA-seq data is the ability to cluster similar or same cells into non-overlapping groups. Many competing methods have been proposed for this task, but there is currently little guidance with regards to which method to use. Methods: Here we use one gold standard 10x Genomics dataset, generated from the mixture of three cell lines, as well as multiple silver standard 10x Genomics datasets generated from peripheral blood mononuclear cells to examine not only the accuracy but also running time and robustness of a dozen methods. Results: We found that Seurat outperf

SUBMITTER: Freytag S 

PROVIDER: S-EPMC6124389 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature