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scmap: projection of single-cell RNA-seq data across data sets.

Vladimir Yu KiselevAndrew YiuMartin Hemberg
Published in: Nature methods (2018)
Single-cell RNA-seq (scRNA-seq) allows researchers to define cell types on the basis of unsupervised clustering of the transcriptome. However, differences in experimental methods and computational analyses make it challenging to compare data across experiments. Here we present scmap (http://bioconductor.org/packages/scmap; web version at http://www.sanger.ac.uk/science/tools/scmap), a method for projecting cells from an scRNA-seq data set onto cell types or individual cells from other experiments.
Keyphrases
  • single cell
  • rna seq
  • high throughput
  • electronic health record
  • big data
  • stem cells
  • magnetic resonance imaging
  • magnetic resonance
  • mesenchymal stem cells
  • cross sectional