Skip to content
/ RaceID Public

Algorithm for the inference of cell types from single-cell RNA-seq data.

Notifications You must be signed in to change notification settings

dgrun/RaceID

Repository files navigation

RaceID algorithm

RaceID is an algorithm for the identification of rare and abundant cell types from single cell transcriptome data. The method is based on transcript counts obtained with unique molecular identifies.

RaceID is written in the R computing language.

The following files are provided:

RaceID class definition: RaceID_class.R RaceID sample code: RaceID_sample.R RaceID reference manual: Reference_manual_RaceID.pdf RaceID sample data: transcript_counts_intestine.xls

If you use RaceID please cite:

Dominic Grün, Anna Lyubimova, Lennart Kester, Kay Wiebrands, Onur Basak, Nobuo Sasaki, Hans Clevers & Alexander van Oudenaarden (2015) Single-cell mRNA sequencing reveals rare intestinal cell types. Nature DOI:10.1038/nature14966

About

Algorithm for the inference of cell types from single-cell RNA-seq data.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages