DOI: 10.18129/B9.bioc.PeacoQC  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see PeacoQC.

Peak-based selection of high quality cytometry data

Bioconductor version: 3.17

This is a package that includes pre-processing and quality control functions that can remove margin events, compensate and transform the data and that will use PeacoQCSignalStability for quality control. This last function will first detect peaks in each channel of the flowframe. It will remove anomalies based on the IsolationTree function and the MAD outlier detection method. This package can be used for both flow- and mass cytometry data.

Author: Annelies Emmaneel [aut, cre]

Maintainer: Annelies Emmaneel <annelies.emmaneel at>

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


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

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


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


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PDF R Script PeacoQC_Vignette
PDF   Reference Manual
Text   NEWS


biocViews FlowCytometry, PeakDetection, Preprocessing, QualityControl, Software
Version 1.10.0
In Bioconductor since BioC 3.12 (R-4.0) (3 years)
License GPL (>=3)
Depends R (>= 4.0)
Imports circlize, ComplexHeatmap, flowCore, flowWorkspace, ggplot2, grDevices, grid, gridExtra, methods, plyr, stats, utils
Suggests knitr, rmarkdown, BiocStyle
Depends On Me
Imports Me CytoPipeline
Suggests Me
Links To Me
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Source Package PeacoQC_1.10.0.tar.gz
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