Non-parametric Flow Cytometry Data Gating

Bioconductor version: Release (2.12)

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 bccrc.ca>

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


biocViews Bioinformatics, Cancer, CellBiology, Clustering, FlowCytData, FlowCytometry, HIV, Software, StemCells
Version 1.12.0
In Bioconductor since BioC 2.6 (R-2.11)
License Artistic-2.0
Depends R (>= 2.10.0)
Imports Biobase, graphics, grDevices, methods, rrcov, stats, feature, flowCore
System Requirements
Depends On Me
Imports Me flowPhyto, flowType
Suggests Me

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