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

Bioconductor version: 2.14

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>

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PDF R Script Multiple sample comparison in flow cytometry data with flowMap
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biocViews FlowCytometry, MultipleComparison, Software
Version 1.99.2
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 (>=, igraph (>= 0.7.1), scales (>= 0.2.3), Matrix (>= 1.1-4), gplots (>= 2.14.1), methods (>= 2.14)
Suggests BiocStyle, knitr
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