- recipe bioconductor-singscore
Rank-based single-sample gene set scoring method
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/singscore.html
- License
GPL-3
- Recipe
A simple single-sample gene signature scoring method that uses rank-based statistics to analyze the sample's gene expression profile. It scores the expression activities of gene sets at a single-sample level.
- package bioconductor-singscore¶
-
- Versions
1.14.0-0
,1.12.0-0
,1.10.0-1
,1.10.0-0
,1.8.0-0
,1.6.0-0
,1.4.0-1
,1.2.2-0
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-edger
>=3.36.0,<3.37.0
bioconductor-gseabase
>=1.56.0,<1.57.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-singscore
and update with:
conda update bioconductor-singscore
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-singscore:<tag>
(see bioconductor-singscore/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-singscore/README.html)