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SparseMDC  

Implementation of SparseMDC Algorithm
View on CRAN: Click here


Download and install SparseMDC package within the R console
Install from CRAN:
install.packages("SparseMDC")

Install from Github:
library("remotes")
install_github("cran/SparseMDC")

Install by package version:
library("remotes")
install_version("SparseMDC", "0.99.5")



Attach the package and use:
library("SparseMDC")
Maintained by
Jun Li
[Scholar Profile | Author Map]
First Published: 2018-08-02
Latest Update: 2018-08-02
Description:
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.
How to cite:
Jun Li (2018). SparseMDC: Implementation of SparseMDC Algorithm. R package version 0.99.5, https://cran.r-project.org/web/packages/SparseMDC. Accessed 04 May. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for SparseMDC
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