- recipe bioconductor-cydar
Using Mass Cytometry for Differential Abundance Analyses
- Homepage
- License
GPL-3
- Recipe
Identifies differentially abundant populations between samples and groups in mass cytometry data. Provides methods for counting cells into hyperspheres, controlling the spatial false discovery rate, and visualizing changes in abundance in the high-dimensional marker space.
- package bioconductor-cydar¶
-
- Versions
1.18.0-1
,1.18.0-0
,1.16.0-0
,1.14.0-2
,1.14.0-1
,1.14.0-0
,1.12.0-0
,1.10.0-0
,1.8.0-1
,1.18.0-1
,1.18.0-0
,1.16.0-0
,1.14.0-2
,1.14.0-1
,1.14.0-0
,1.12.0-0
,1.10.0-0
,1.8.0-1
,1.6.0-0
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-biocgenerics
>=0.40.0,<0.41.0
bioconductor-biocneighbors
>=1.12.0,<1.13.0
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-flowcore
>=2.6.0,<2.7.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-singlecellexperiment
>=1.16.0,<1.17.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
libstdcxx-ng
>=10.3.0
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-cydar
and update with:
conda update bioconductor-cydar
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-cydar:<tag>
(see bioconductor-cydar/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-cydar/README.html)