- recipe bioconductor-flowmap
Mapping cell populations in flow cytometry data for cross-sample comparisons using the Friedman-Rafsky Test
- Homepage:
https://bioconductor.org/packages/3.17/bioc/html/flowMap.html
- License:
GPL (>=2)
- Recipe:
- Links:
biotools: flowmap, doi: 10.1002/cyto.a.22735
flowMap quantifies the similarity of cell populations across multiple flow cytometry samples using a nonparametric multivariate statistical test. The method is able to map cell populations of different size, shape, and proportion across multiple flow cytometry samples. The algorithm can be incorporate in any flow cytometry work flow that requires accurat quantification of similarity between cell populations.
- package bioconductor-flowmap¶
- versions:
1.38.0-0
,1.36.0-0
,1.32.0-0
,1.30.0-0
,1.28.0-1
,1.28.0-0
,1.26.0-0
,1.24.0-0
,1.22.0-1
,1.38.0-0
,1.36.0-0
,1.32.0-0
,1.30.0-0
,1.28.0-1
,1.28.0-0
,1.26.0-0
,1.24.0-0
,1.22.0-1
,1.22.0-0
,1.20.1-0
,1.18.0-0
,1.14.0-0
- depends r-abind:
>=1.4.0
- depends r-ade4:
>=1.5-2
- depends r-base:
>=4.3,<4.4.0a0
- depends r-doparallel:
>=1.0.3
- depends r-matrix:
>=1.1-4
- depends r-reshape2:
>=1.2.2
- depends r-scales:
>=0.2.3
- requirements:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-flowmap and update with:: mamba update bioconductor-flowmap
To create a new environment, run:
mamba create --name myenvname bioconductor-flowmap
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-flowmap:<tag> (see `bioconductor-flowmap/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-flowmap/README.html)