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This is the development version of MetaCyto; for the stable release version, see MetaCyto.

MetaCyto: A package for meta-analysis of cytometry data

Bioconductor version: Development (3.20)

This package provides functions for preprocessing, automated gating and meta-analysis of cytometry data. It also provides functions that facilitate the collection of cytometry data from the ImmPort database.

Author: Zicheng Hu, Chethan Jujjavarapu, Sanchita Bhattacharya, Atul J. Butte

Maintainer: Zicheng Hu < at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


To view documentation for the version of this package installed in your system, start R and enter:

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Reference Manual PDF


biocViews CellBasedAssays, CellBiology, Clustering, FlowCytometry, ImmunoOncology, Preprocessing, Software, StatisticalMethod
Version 1.27.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 years)
License GPL (>= 2)
Depends R (>= 3.4)
Imports flowCore(>= 1.4), tidyr (>= 0.7), fastcluster, ggplot2, metafor, cluster, FlowSOM, grDevices, graphics, stats, utils
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Suggests knitr, dplyr, rmarkdown
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Source Package MetaCyto_1.27.0.tar.gz
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macOS Binary (x86_64) MetaCyto_1.27.0.tgz
macOS Binary (arm64) MetaCyto_1.27.0.tgz
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