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A probabilistic algorithm for matching and comparing multiple flow cytometry samples

Bioconductor version: 2.13

This package provides an algorithm to compare and match cell populations across multiple flow cytometry samples. The method is based on the Friedman-Rafsky test, a nonparametric multivariate statistical test, where two cell distributions match if they occupy a similar feature space. The algorithm allows the users to specify a reference sample for comparison or to construct a reference sample from the available data. The output of the algorithm is a set of text files where the cell population labels are replaced by a metaset of population labels, generated from the matching process.

Author: Chiaowen Joyce Hsiao and Yu Qian

Maintainer: Chiaowen Joyce Hsiao <joyce.hsiao1 at>

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PDF R Script Multiple sample comparison in flow cytometry data with flowMap
PDF   Reference Manual


biocViews FlowCytometry, MultipleComparisons, Software
Version 1.0.0
In Bioconductor since BioC 2.13 (R-3.0)
License GPL (>=2)
Depends R (>= 3.0.1), ade4 (>= 1.5-2), doParallel (>= 1.0.3), abind (>= 1.4.0), reshape2 (>= 1.2.2), ggplot2 (>=, scales (>= 0.2.3), methods (>= 2.14)
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