Package: PeacoQC
Title: Peak-based selection of high quality cytometry data
Version: 1.6.0
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: 7.1.1
Suggests: knitr, rmarkdown, BiocStyle
VignetteBuilder: knitr
biocViews: FlowCytometry, QualityControl, Preprocessing, PeakDetection
git_url: https://git.bioconductor.org/packages/PeacoQC
git_branch: RELEASE_3_15
git_last_commit: 2fa1046
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: no
Packaged: 2022-04-27 00:19:31 UTC; biocbuild
Author: Annelies Emmaneel [aut, cre]
Maintainer: Annelies Emmaneel <annelies.emmaneel@hotmail.com>
Built: R 4.2.0; ; 2022-04-27 09:52:35 UTC; windows
