Semantic Scholar Open Access 2018 612 sitasi

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

V. Kiselev Andrew Yiu M. Hemberg

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Biology Medicine

Penulis (3)

V. Kiselev

Andrew Yiu

M. Hemberg

Format Sitasi

APA MLA BibTeX

Kiselev, V., Yiu, A., Hemberg, M. (2018). scmap: projection of single-cell RNA-seq data across data sets. https://doi.org/10.1038/nmeth.4644

Akses Cepat

Lihat di Sumber doi.org/10.1038/nmeth.4644

Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Total Sitasi: 612×
Sumber Database: Semantic Scholar
DOI: 10.1038/nmeth.4644
Akses: Open Access ✓