recipe bioconductor-diffcyt

Differential discovery in high-dimensional cytometry via high-resolution clustering

Homepage

https://bioconductor.org/packages/3.11/bioc/html/diffcyt.html

License

MIT + file LICENSE

Recipe

/bioconductor-diffcyt/meta.yaml

Statistical methods for differential discovery analyses in high-dimensional cytometry data (including flow cytometry, mass cytometry or CyTOF, and oligonucleotide-tagged cytometry), based on a combination of high-resolution clustering and empirical Bayes moderated tests adapted from transcriptomics.

package bioconductor-diffcyt

(downloads) docker_bioconductor-diffcyt

Versions

1.8.6-01.6.0-01.4.3-01.2.23-11.2.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-diffcyt

and update with:

conda update bioconductor-diffcyt

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-diffcyt:<tag>

(see bioconductor-diffcyt/tags for valid values for <tag>)