| Name : R-SparseDC
| |
| Version : 0.1.17
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:04:48
|
| Group : Development/Libraries/Other
| Source RPM : R-SparseDC-0.1.17-lp153.2.13.src.rpm
|
| Size : 4.65 MB
| |
| Packager : (none)
| |
| Summary : Implementation of SparseDC Algorithm
|
Description :
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, < doi:10.1093/nar/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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
