| RaceID is a method for cell type identification from single-cell RNA-seq data by unsupervised learning. An initial clustering is followed by an outlier identification based on a backgorund model of combined technical and biological variability in single-cell RNA-seq data obtained by quantification with unique molecular identifiers. StemID permits subsequent inference of a lineage tree based on clusters, i.e. cell types, identified by RaceID. |
hg clone https://toolshed.g2.bx.psu.edu/repos/iuc/raceid_filtnormconf
| Name | Description | Version | Minimum Galaxy Version |
|---|---|---|---|
| performs filtering, normalisation, and confounder removal to generate a normalised and filtered count matrix of single-cell RNA data | 3.1 | 16.01 | |