Bioconductor-mirror/flowAI: Automatic and interactive quality control for flow cytometry data

The package is able to perform an automatic or interactive quality control on FCS data acquired using flow cytometry instruments. By evaluating three different properties: 1) flow rate, 2) signal acquisition, 3) dynamic range, the quality control enables the detection and removal of anomalies.

Getting started

Package details

AuthorGianni Monaco, Chen Hao
Bioconductor views BiomedicalInformatics FlowCytometry QualityControl
MaintainerGianni Monaco <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
Bioconductor-mirror/flowAI documentation built on June 1, 2017, 8:38 a.m.