| Name : R-countland
| |
| Version : 0.1.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:52:49
|
| Group : Development/Libraries/Other
| Source RPM : R-countland-0.1.2-lp153.1.4.src.rpm
|
| Size : 0.51 MB
| |
| Packager : (none)
| |
| Summary : Analysis of Biological Count Data, Especially from Single-Cell RNA-Seq
|
Description :
A set of functions for applying a restricted linear algebra to the
analysis of count-based data. See the accompanying preprint manuscript:
\"Normalizing need not be the norm: count-based math for analyzing
single-cell data\" Church et al (2022) < doi:10.1101/2022.06.01.494334>
This tool is specifically designed to analyze count matrices from
single cell RNA sequencing assays. The tools implement several
count-based approaches for standard steps in single-cell RNA-seq
analysis, including scoring genes and cells, comparing cells and
clustering, calculating differential gene expression, and several
methods for rank reduction. There are many opportunities for further
optimization that may prove useful in the analysis of other data. We
provide the source code freely available at
< https://github.com/shchurch/countland> and encourage users and
developers to fork the code for their own purposes.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
