- recipe bioconductor-flowsom
Using self-organizing maps for visualization and interpretation of cytometry data
- Homepage:
https://bioconductor.org/packages/3.14/bioc/html/FlowSOM.html
- License:
GPL (>= 2)
- Recipe:
- Links:
biotools: flowsom, doi: 10.1002/cyto.a.22625
FlowSOM offers visualization options for cytometry data, by using Self-Organizing Map clustering and Minimal Spanning Trees.
- package bioconductor-flowsom¶
-
- Versions:
2.2.0-1
,2.2.0-0
,2.0.0-0
,1.22.0-2
,1.22.0-1
,1.22.0-0
,1.20.0-0
,1.18.0-0
,1.16.0-1
,2.2.0-1
,2.2.0-0
,2.0.0-0
,1.22.0-2
,1.22.0-1
,1.22.0-0
,1.20.0-0
,1.18.0-0
,1.16.0-1
,1.14.1-0
,1.14.0-0
,1.12.0-0
,1.10.0-0
,1.8.0-0
- Depends:
bioconductor-biocgenerics
>=0.40.0,<0.41.0
bioconductor-consensusclusterplus
>=1.58.0,<1.59.0
bioconductor-cytoml
>=2.6.0,<2.7.0
bioconductor-flowcore
>=2.6.0,<2.7.0
bioconductor-flowworkspace
>=4.6.0,<4.7.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
r-base
>=4.1,<4.2.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-flowsom
and update with:
conda update bioconductor-flowsom
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-flowsom:<tag>
(see bioconductor-flowsom/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-flowsom/README.html)