Ontology highlight
ABSTRACT:
SUBMITTER: Ntranos V
PROVIDER: S-EPMC4881296 | biostudies-literature | 2016 May
REPOSITORIES: biostudies-literature
Ntranos Vasilis V Kamath Govinda M GM Zhang Jesse M JM Pachter Lior L Tse David N DN
Genome biology 20160526 1
Current approaches to single-cell transcriptomic analysis are computationally intensive and require assay-specific modeling, which limits their scope and generality. We propose a novel method that compares and clusters cells based on their transcript-compatibility read counts rather than on the transcript or gene quantifications used in standard analysis pipelines. In the reanalysis of two landmark yet disparate single-cell RNA-seq datasets, we show that our method is up to two orders of magnitu ...[more]