• Home
• Bioconductor 3.24
• Software Packages
• PeacoQC (development version)

PeacoQC

This is the development version of PeacoQC; for the stable release version, see PeacoQC.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12

Peak-based selection of high quality cytometry data

DOI: 10.18129/B9.bioc.PeacoQC

Bioconductor version: Development (3.24)

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, enter citation("PeacoQC")):

Annelies Emmaneel. PeacoQC: Peak-based selection of high quality cytometry data. doi:10.18129/B9.bioc.PeacoQC, R package version 1.23.0, https://bioconductor.org/packages/PeacoQC.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("PeacoQC")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("PeacoQC")

Details

Package Archives

Follow Installation instructions to use this package in your R session.