SparseMDC: 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.
| Version: |
0.99.5 |
| Depends: |
R (≥ 3.1.0), doRNG |
| Imports: |
stats, foreach, parallel, doParallel |
| Suggests: |
knitr, rmarkdown |
| Published: |
2018-08-02 |
| Author: |
Martin Barron [aut],
Jun Li [aut, cre] |
| Maintainer: |
Jun Li <jun.li at nd.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
SparseMDC results |
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