- recipe bioconductor-peacoqc
Peak-based selection of high quality cytometry data
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/PeacoQC.html
- License
GPL (>=3)
- Recipe
This is a package that includes pre-processing and quality control functions that can remove margin events, compensate and transform the data and that will use PeacoQCSignalStability for quality control. This last function will first detect peaks in each channel of the flowframe. It will remove anomalies based on the IsolationTree function and the MAD outlier detection method. This package can be used for both flow- and mass cytometry data.
- package bioconductor-peacoqc¶
-
- Versions
1.4.0-0
,1.2.0-0
,0.99.25-2
,0.99.25-1
- Depends
bioconductor-complexheatmap
>=2.10.0,<2.11.0
bioconductor-flowcore
>=2.6.0,<2.7.0
bioconductor-flowworkspace
>=4.6.0,<4.7.0
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-peacoqc
and update with:
conda update bioconductor-peacoqc
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-peacoqc:<tag>
(see bioconductor-peacoqc/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-peacoqc/README.html)