dgrun / StemID

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

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StemID and RaceID2 algorithms

RaceID2 is an advanced version of RaceID, 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.

StemID is an algorithm for the derivation of cell lineage trees based on RaceID2 results and predicts multipotent cell identites.

RaceID2 and StemID are written in the R computing language.

The following files are provided:

StemID/RaceID2 class definition: RaceID2_StemID_class.R StemID/RaceID2 sample code: RaceID2_StemID_sample.R StemID/RaceID2 reference manual: Reference_manual_RaceID2_StemID.pdf StemID/RaceID2 sample data: transcript_counts_intestine_5days_YFP.xls

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


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Language:R 100.0%