| Name : R-SPECK
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.8.1
| Date : 2024-09-18 19:09:00
|
| Group : Development/Libraries/Other
| Source RPM : R-SPECK-1.0.0-lp155.8.1.src.rpm
|
| Size : 4.37 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Receptor Abundance Estimation using Reduced Rank Reconstruction and Clustered Thresholding
|
Description :
Surface Protein abundance Estimation using CKmeans-based clustered
thresholding (\'SPECK\') is an unsupervised learning-based method that
performs receptor abundance estimation for single cell RNA-sequencing
data based on reduced rank reconstruction (RRR) and a clustered
thresholding mechanism. Seurat\'s normalization method is described in:
Hao et al., (2021) < doi:10.1016/j.cell.2021.04.048>, Stuart et al.,
(2019) < doi:10.1016/j.cell.2019.05.031>, Butler et al., (2018)
< doi:10.1038/nbt.4096> and Satija et al., (2015)
< doi:10.1038/nbt.3192>. Method for the RRR is further detailed in:
Erichson et al., (2019) < doi:10.18637/jss.v089.i11> and Halko et al.,
(2009) < arXiv:0909.4061>. Clustering method is outlined in: Song et
al., (2020) < doi:10.1093/bioinformatics/btaa613> and Wang et al.,
(2011) < doi:10.32614/RJ-2011-015>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
