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Repository raceid_filtnormconf
Name: raceid_filtnormconf
Owner: iuc
Synopsis: 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 background 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.
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 background 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.
Content homepage: https://github.com/dgrun/RaceID3_StemID2_package/
Development repository: https://github.com/galaxyproject/tools-iuc/tree/main/tools/raceid
Link to this repository revision: https://toolshed.g2.bx.psu.edu/view/iuc/raceid_filtnormconf/8b917923f7d4
Clone this repository: hg clone https://toolshed.g2.bx.psu.edu/repos/iuc/raceid_filtnormconf
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Contents of this repository

Valid tools - click the name to preview the tool and use the pop-up menu to inspect all metadata
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 0.2.3+galaxy3 21.01

Categories
Single Cell - Tools for single cell analyses
Transcriptomics - Tools for use in the study of Transcriptomics.