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Repository sccaf_regress_out
Owner: ebi-gxa
Synopsis: Wrapper for the SCCAF tool: SCCAF mulitple regress out
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.
Content homepage: https://github.com/sccaf/sccaf
Type: unrestricted
Revision: 1:5ef0610e9f50
This revision can be installed: True
Times cloned / installed: 248

Contents of this repository

Name Description Version Minimum Galaxy Version
with multiple categorical keys on an AnnData object. 0.0.9+galaxy1 16.01

Categories
Transcriptomics - Tools for use in the study of Transcriptomics.