This is the released version of PeacoQC; for the devel version, see PeacoQC.
Peak-based selection of high quality cytometry dataBioconductor version: Release (3.21)
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 hotmail.com>
Citation (from within R, entercitation("PeacoQC")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("PeacoQC")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PeacoQC")Follow Installation instructions to use this package in your R session.
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