saeyslab/PeacoQC: Peak-based selection of high quality cytometry data

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.

Getting started

Package details

Bioconductor views FlowCytometry PeakDetection Preprocessing QualityControl
LicenseGPL (>=3)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
saeyslab/PeacoQC documentation built on June 21, 2022, 7:45 p.m.