RT Journal Article
SR Electronic
T1 scmap - A tool for unsupervised projection of single cell RNA-seq data
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 150292
DO 10.1101/150292
A1 Vladimir Yu Kiselev
A1 Martin Hemberq
YR 2017
UL http://biorxiv.org/content/early/2017/06/15/150292.abstract
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.