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

作者：V. Kiselev, A. Yiu, M. Hemberg · 发表于：Nature Methods · 年份：2018 · DOI：10.1038/nmeth.4644 · 被引用次数：654 · 研究领域：Biology、Medicine

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.