Non-parametric Flow Cytometry Data Gating

Bioconductor version: Release (3.19)

Identifies cell populations in Flow Cytometry data using non-parametric clustering and segmented-regression-based change point detection. Note: R 2.11.0 or newer is required.

Author: Nima Aghaeepour

Maintainer: Nima Aghaeepour <naghaeep at gmail.com>

Citation (from within R, enter citation("flowMeans")):


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flowMeans: Non-parametric Flow Cytometry Data Gating PDF R Script
Reference Manual PDF


biocViews CellBiology, Clustering, FlowCytometry, ImmunoOncology, Software
Version 1.64.0
In Bioconductor since BioC 2.6 (R-2.11) (14 years)
License Artistic-2.0
Depends R (>= 2.10.0)
Imports Biobase, graphics, grDevices, methods, rrcov, stats, feature, flowCore
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