Implementation of SparseMDC Algorithm

Implements the algorithm described in Barron, M., and Li, J. (Not yet published). This algorithm clusters samples from multiple ordered 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 SparseMDC as outlined in the paper. We recommend that users further select their marker genes using the magnitude of the cluster centers.


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install.packages("SparseMDC")

0.99.5 by Jun Li, a year ago


Browse source code at https://github.com/cran/SparseMDC


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


Documentation:   PDF Manual  


GPL-3 license


Imports stats, foreach, parallel, doParallel

Depends on doRNG

Suggests knitr, rmarkdown


See at CRAN