Ontology highlight
ABSTRACT:
SUBMITTER: Hie B
PROVIDER: S-EPMC6597305 | biostudies-literature | 2019 Jun
REPOSITORIES: biostudies-literature
Hie Brian B Cho Hyunghoon H DeMeo Benjamin B Bryson Bryan B Berger Bonnie B
Cell systems 20190605 6
Large-scale single-cell RNA sequencing (scRNA-seq) studies that profile hundreds of thousands of cells are becoming increasingly common, overwhelming existing analysis pipelines. Here, we describe how to enhance and accelerate single-cell data analysis by summarizing the transcriptomic heterogeneity within a dataset using a small subset of cells, which we refer to as a geometric sketch. Our sketches provide more comprehensive visualization of transcriptional diversity, capture rare cell types wi ...[more]