- recipe bioconductor-cytofqc
Labels normalized cells for CyTOF data and assigns probabilities for each label
- Homepage:
https://bioconductor.org/packages/3.20/bioc/html/cytofQC.html
- License:
Artistic-2.0
- Recipe:
cytofQC is a package for initial cleaning of CyTOF data. It uses a semi-supervised approach for labeling cells with their most likely data type (bead, doublet, debris, dead) and the probability that they belong to each label type. This package does not remove data from the dataset, but provides labels and information to aid the data user in cleaning their data. Our algorithm is able to distinguish between doublets and large cells.
- package bioconductor-cytofqc¶
-
- Versions:
1.6.0-0,1.2.0-0,1.0.0-0- Depends:
on bioconductor-catalyst
>=1.30.0,<1.31.0on bioconductor-flowcore
>=2.18.0,<2.19.0on bioconductor-s4vectors
>=0.44.0,<0.45.0on bioconductor-singlecellexperiment
>=1.28.0,<1.29.0on bioconductor-summarizedexperiment
>=1.36.0,<1.37.0on r-base
>=4.4,<4.5.0a0on r-e1071
on r-eztune
on r-gbm
on r-ggplot2
on r-hrbrthemes
on r-matrixstats
on r-randomforest
on r-rmarkdown
on r-ssc
- Additional platforms:
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install bioconductor-cytofqc
to add into an existing workspace instead, run:
pixi add bioconductor-cytofqc
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install bioconductor-cytofqc
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-cytofqc
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/bioconductor-cytofqc:<tag>
(see bioconductor-cytofqc/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-cytofqc/README.html)