| Literature DB >> 29608555 |
Vladimir Yu Kiselev1, Andrew Yiu1, Martin Hemberg1.
Abstract
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.Mesh:
Year: 2018 PMID: 29608555 DOI: 10.1038/nmeth.4644
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547