Implementation of SparseDC Algorithm

Implements the algorithm described in Barron, M., Zhang, S. and Li, J. 2017, "A sparse differential clustering algorithm for tracing cell type changes via single-cell RNA-sequencing data", Nucleic Acids Research, gkx1113, . This algorithm clusters samples from two different populations, links the clusters across the conditions and identifies marker genes for these changes. The package was designed for scRNA-Seq data but is also applicable to many other data types, just replace cells with samples and genes with variables. The package also contains functions for estimating the parameters for SparseDC as outlined in the paper. We recommend that users further select their marker genes using the magnitude of the cluster centers.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.17 by Jun Li, 4 years ago

Browse source code at

Authors: Jun Li [aut, cre] , Martin Barron [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports stats

Suggests knitr, rmarkdown

See at CRAN