| Single Cell Clustering Assessment Framework (SCCAF) is a novel method for automated identification of putative cell types from single cell RNA-seq (scRNA-seq) data. By iteratively applying clustering and a machine learning approach to gene expression profiles of a given set of cells, SCCAF simultaneously identifies distinct cell groups and a weighted list of feature genes for each group. The feature genes, which are overexpressed in the particular cell group, jointly discriminate the given cell group from other cells. Each such group of cells corresponds to a putative cell type or state, characterised by the feature genes as markers. |
hg clone https://toolshed.g2.bx.psu.edu/repos/ebi-gxa/sccaf_asses
| Name | Description | Version | Minimum Galaxy Version |
|---|---|---|---|
| runs an assesment of an SCCAF optimisation result or an existing clustering. | 0.0.9+galaxy0 | 16.01 | |