Ontology highlight
ABSTRACT:
SUBMITTER: McGinnis CS
PROVIDER: S-EPMC6853612 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature
McGinnis Christopher S CS Murrow Lyndsay M LM Gartner Zev J ZJ
Cell systems 20190403 4
Single-cell RNA sequencing (scRNA-seq) data are commonly affected by technical artifacts known as "doublets," which limit cell throughput and lead to spurious biological conclusions. Here, we present a computational doublet detection tool-DoubletFinder-that identifies doublets using only gene expression data. DoubletFinder predicts doublets according to each real cell's proximity in gene expression space to artificial doublets created by averaging the transcriptional profile of randomly chosen c ...[more]