Package: PeacoQC
Title: Peak-based selection of high quality cytometry data
Version: 1.22.0
Authors@R: 
    person(given = "Annelies",
           family = "Emmaneel",
           role = c("aut", "cre"),
           email = "annelies.emmaneel@hotmail.com")
Description: 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.
Encoding: UTF-8
License: GPL (>=3)
URL: http://github.com/saeyslab/PeacoQC
BugReports: http://github.com/saeyslab/PeacoQC/issues
Depends: R (>= 4.0)
Imports: circlize, ComplexHeatmap, flowCore, flowWorkspace, ggplot2,
        grDevices, grid, gridExtra, methods, plyr, stats, utils
RoxygenNote: 7.3.3
Suggests: knitr, rmarkdown, BiocStyle
VignetteBuilder: knitr
biocViews: FlowCytometry, QualityControl, Preprocessing, PeakDetection
Config/pak/sysreqs: libpng-dev libxml2-dev libssl-dev perl zlib1g-dev
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:52:58 UTC
RemoteUrl: https://github.com/bioc/PeacoQC
RemoteRef: RELEASE_3_23
RemoteSha: b86dec8d492b1110be8e567886db167e7d0d2b81
NeedsCompilation: no
Packaged: 2026-07-03 20:57:17 UTC; root
Author: Annelies Emmaneel [aut, cre]
Maintainer: Annelies Emmaneel <annelies.emmaneel@hotmail.com>