Package: PeacoQC Title: Peak-based selection of high quality cytometry data Version: 1.23.0 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: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:52:58 UTC RemoteUrl: https://github.com/bioc/PeacoQC RemoteRef: HEAD RemoteSha: d65681026e925a525987a73e0bdb089c34ab186c NeedsCompilation: no Packaged: 2026-07-04 02:17:09 UTC; root Author: Annelies Emmaneel [aut, cre] Maintainer: Annelies Emmaneel