PT  - JOURNAL ARTICLE
AU  - Vladimir Yu Kiselev
AU  - Martin Hemberq
TI  - scmap - A tool for unsupervised projection of single cell RNA-seq data
AID  - 10.1101/150292
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 150292
4099  - http://biorxiv.org/content/early/2017/06/15/150292.short
4100  - http://biorxiv.org/content/early/2017/06/15/150292.full
AB  - Single-cell RNA-seq (scRNA-seq) is widely used to investigate the composition of complex tissues1–9 since the technology allows researchers to define cell-types using unsupervised clustering of the transcriptome8,10. However, due to differences in experimental methods and computational analyses, it is often challenging to directly compare the cells identified in two different experiments. Here, we present scmap, a method (source code available at https://github.com/hemberg-lab/scmap and the application can be run from http://www.hemberg-lab.cloud/scmap) for projecting cells from a scRNA-seq experiment on to the cell-types identified in a different experiment.