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flowMap

Mapping cell populations in flow cytometry data for cross-sample comparisons using the Friedman-Rafsky Test


Bioconductor version: Release (3.18)

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.

Author: Chiaowen Joyce Hsiao, Yu Qian, and Richard H. Scheuermann

Maintainer: Chiaowen Joyce Hsiao <joyce.hsiao1 at gmail.com>

Citation (from within R, enter citation("flowMap")):

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("flowMap")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews FlowCytometry, ImmunoOncology, MultipleComparison, Software
Version 1.40.0
In Bioconductor since BioC 2.13 (R-3.0) (10.5 years)
License GPL (>=2)
Depends R (>= 3.0.1), ade4 (>= 1.5-2), doParallel (>= 1.0.3), abind (>= 1.4.0), reshape2 (>= 1.2.2), scales (>= 0.2.3), Matrix (>= 1.1-4), methods (>= 2.14)
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary flowMap_1.40.0.zip (64-bit only)
macOS Binary (x86_64) flowMap_1.40.0.tgz
macOS Binary (arm64) flowMap_1.40.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/flowMap
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/flowMap
Bioc Package Browser https://code.bioconductor.org/browse/flowMap/
Package Short Url https://bioconductor.org/packages/flowMap/
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