immunoClust-package {immunoClust} | R Documentation

## immunoClust - Automated Pipeline for Population Detection in Flow Cytometry

### Description

Model based clustering and meta-custering routines for Flow Cytometry (FC) data.

The immunoClust-pipeline consits of two major procedures:

`cell.process` | Clustering of cell-events
`meta.process` | Meta-clustering of cell-clusters

Cell-events clustering is performed for each FC data sample separately. After this all cell-clustering results are collected in a vector and meta-clustering is performed to obtain the across samples popluations.

### Details

Package: | immunoClust
Type: | Package
Version: | 1.0.0
Depends: | R(>= 2.13.0), methods, stats, graphics, grid, lattice, flowCore
Date: | 2015-01-28
License: | Artistic-2.0

### Author(s)

Till Sörensen <till-antoni.soerensen@charited.de>

### References

Sörensen, T., Baumgart, S., Durek, P., Grützkau, A. and Häupl, T. immunoClust - an automated analysis pipeline for the identification of immunophenotypic signatures in high-dimensional cytometric datasets. Cytometry A (accepted).

[Package immunoClust version 1.19.4 Index]