| Name : R-ZetaSuite
| |
| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.17.2
| Date : 2024-06-14 12:08:01
|
| Group : Development/Libraries/Other
| Source RPM : R-ZetaSuite-1.0.1-lp153.17.2.src.rpm
|
| Size : 3.68 MB
| |
| Packager : (none)
| |
| Summary : Analyze High-Dimensional High-Throughput Dataset and Quality Control Single-Cell RNA-Seq
|
Description :
The advent of genomic technologies has enabled the generation of
two-dimensional or even multi-dimensional high-throughput data, e.g.,
monitoring multiple changes in gene expression in genome-wide siRNA
screens across many different cell types (E Robert McDonald 3rd (2017)
< doi: 10.1016/j.cell.2017.07.005> and Tsherniak A (2017) < doi:
10.1016/j.cell.2017.06.010>) or single cell transcriptomics under
different experimental conditions. We found that simple computational
methods based on a single statistical criterion is no longer adequate
for analyzing such multi-dimensional data. We herein introduce
\'ZetaSuite\', a statistical package initially designed to score hits
from two-dimensional RNAi screens.We also illustrate a unique utility
of \'ZetaSuite\' in analyzing single cell transcriptomics to
differentiate rare cells from damaged ones (Vento-Tormo R (2018) < doi:
10.1038/s41586-018-0698-6>). In \'ZetaSuite\', we have the following
steps: QC of input datasets, normalization using Z-transformation, Zeta
score calculation and hits selection based on defined Screen Strength.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
