- recipe bioconductor-hdcytodata
Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats
- Homepage:
https://bioconductor.org/packages/3.16/data/experiment/html/HDCytoData.html
- License:
MIT + file LICENSE
- Recipe:
Data package containing a set of publicly available high-dimensional cytometry benchmark datasets, formatted into SummarizedExperiment and flowSet Bioconductor object formats, including all required metadata. Row metadata includes sample IDs, group IDs, patient IDs, reference cell population or cluster labels (where available), and labels identifying 'spiked in' cells (where available). Column metadata includes channel names, protein marker names, and protein marker classes (cell type or cell state).
- package bioconductor-hdcytodata¶
-
- Versions:
1.18.0-0
,1.14.0-1
,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
,1.18.0-0
,1.14.0-1
,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
,1.2.1-0
- Depends:
bioconductor-data-packages
>=20221108
bioconductor-experimenthub
>=2.6.0,<2.7.0
bioconductor-flowcore
>=2.10.0,<2.11.0
bioconductor-summarizedexperiment
>=1.28.0,<1.29.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-hdcytodata
and update with:
conda update bioconductor-hdcytodata
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-hdcytodata:<tag>
(see bioconductor-hdcytodata/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-hdcytodata/README.html)